Complex Relationship Research Articles

Constituent power and independence movements: On the founding and foundation of political orders and the meaning of political independence

This paper links the debates on constituent power and European independence movements in order to develop a theoretically compelling and empirically grounded conception of constituent power, as well as to assess in how far constituent power contributes to the meaning of political independence. In its first part, it builds upon recent republican contributions to the debates on corporate, joint and collective agency and argues that, even on individualist grounds, constituent power can convincingly be understood as a surplus of collective agency that corporate agency cannot encompass. In the second part of the paper, these preliminary theoretical considerations are confronted with the debates about Scotland's constitutional future and the 2014 independence referendum. This examination suggests further differentiation, but also facilitates insights into the interplay of the constituent power of the people with corporate forms of agency, as well as into changes of constituent peoples. In the final part, the paper inverts the perspective of inquiry to show that, once one is conscious of the complex relation between popular sovereignty and sovereignty that conceptions of corporate and collective agency help us to grasp, constituent power also proves to be an element of a compelling political conception of political independence.

The Study of National Identity in the Framework of Chinese Ethnopsychology

The population of the Chinese nation makes up a quarter of the total population of the globe. If studies of the self-consciousness of the Chinese nation are not conducted in world psychology, then a significant gap will appear in this field of knowledge. It is no exaggeration to say that the study of Chinese national identity plays an important role in the field of world psychology. The self-awareness of the Chinese nation at the cognitive level is manifested in a full understanding of the traditional cultures of various Chinese ethnic groups, a rational attitude to ethnic cultural differences and the constant improvement of cultural adaptability. The self-awareness of the Chinese nation on an emotional level manifests itself in the form of close exchanges and contacts between various ethnic groups, constantly reducing the psychological distance between these groups, forming complex and harmonious ethnic relations; The will and beliefs are manifested as the will and determination of all ethnic groups in the process of realizing the great renaissance of the Chinese nation. A complete understanding of the conceptual system of self-awareness of the Chinese nation from the point of view of ethnic psychology is of great importance for building a Chinese national community.

Bayesian updating of relationships between crack width and corrosion level in reinforced concrete based on a large set of experimental data

AbstractThe evaluation of rebar corrosion in reinforced concrete (RC) structures presents a significant challenge for structural engineers, with on‐site visual inspections and crack width measurements playing a key role in the preliminary assessment. A general approach is to use corrosion models to predict the corrosion level of existing structures, and subsequently update these predictions by means of on‐site data. In this process, empirical models are often applied that relate the observed damage, such as corrosion‐induced cracks, to the corrosion level. However, these models have large uncertainties and are often not applicable to conditions that deviate from the test setups used to derive the empirical relations. This research aims to expand the applicability of these practical, existing empirical models for on‐site corrosion assessment through Bayesian updating techniques. To this aim, a Bayesian framework is developed to update crack width–corrosion models. The Bayesian updating methodology is illustrated for a simple regression model, and for a more complex relation that accounts for additional variables. A novel online database (KUL‐edCCRC) is used that is published accompanying this paper. The obtained results illustrate that the updated models have better agreement with the experimental results, and it is found that the confidence intervals of the regression parameters decrease for an increasing number of observations, even for a small number of additional datapoints. The results hence prove the efficiency of the approach to integrate information from new observations with prior information to adjust the crack width–corrosion model for specific conditions or cases, resulting in a more relevant model as more information becomes available.

Government-Business Relations in Policymaking During the New Order Indonesia

Government–business relations have been central to general discussions on policymaking in democratic states. This study analyzes government–business relations in policymaking during economic booms and crises in New Order Indonesia (March 1966–May 1998). The analysis is based on pluralist, state autonomy, and capacity theories, and critical discourse analysis is applied to textual sources to reveal the historical dimensions of policymaking during the economic booms and downturns under the New Order Indonesia. The findings show that policymaking during these periods was characterized by complex, dialectical, and dynamic relations between the government and businesses.

Modeling of mRNA deadenylation rates reveal a complex relationship between mRNA deadenylation and decay.

Complete cytoplasmic polyadenosine tail (polyA-tail) deadenylation is thought to be essential for initiating mRNA decapping and subsequent degradation. To investigate this prevalent model, we conducted direct RNA sequencing of S. cerevisiae mRNAs derived from chase experiments under steady-state and stress condition. Subsequently, we developed a numerical model based on a modified gamma distribution function, which estimated the transcriptomic deadenylation rate at 10 A/min. A simplified independent method, based on the delineation of quantile polyA-tail values, showed a correlation between the decay and deadenylation rates of individual mRNAs, which appeared consistent within functional transcript groups and associated with codon optimality. Notably, these rates varied during the stress response. Detailed analysis of ribosomal protein-coding mRNAs (RPG mRNAs), constituting 40% of the transcriptome, singled out this transcript group. While deadenylation and decay of RPG mRNAs accelerated under heat stress, their degradation could proceed even when deadenylation was blocked, depending entirely on ongoing nuclear export. Our findings support the general primary function of deadenylation in dictating the onset of decapping, while also demonstrating complex relations between these processes.

Navigating conflicting expectations in addressing healthcare scarcity: a q-methodology study on the Dutch National Health Care Institute.

In many European countries, semi-autonomous agencies have been created in health policy to safeguard general public interests. In executing their tasks, these agencies need to deal with conflicting expectations. Particularly avoiding the risk of regulatory capture and aligning with parent ministries are frequently studied challenges, even more so when complex issues such as scarcity are at stake. In this paper, we use q-methodology to provide a thorough overview of the debate regarding the role of an important agency in the Dutch healthcare system; the National Health Care Institute (Zorginstituut Nederland). We conducted 41 q-interviews with agency employees, evaluators, regulatees, ministry employees, health policy experts, members of its advisory committees, and peer agencies. We identify three viewpoints on what the agency should focus on. These are on societally relevant issues, strict package management, and efficient organisation of care. In doing so, our study shows how agencies are pulled in different directions by conflicting expectations. We show that this can be problematic because it complicates a clear role of the agency that allows addressing such issues. We thereby contribute to theories on agencies' complex relations with their external environment such as regulatory capture, tripartism, reflexive regulation, legal boundaries, and stewardship theory.

Limes (the Roman Frontier): Developing a Video Game for History Learning

The use of gaming technologies in education holds great promise to provide engaging learning experiences. Whereas video games have been successfully used to foster learning in several school subjects, the current understanding of the potential of video games for history learning is still limited. This paper details the development of Limes, a 2D top-down educational game created in Unity and rendered in pixel art. The game targets 5th/6th grade secondary school students and is set in the third century AD in southern Germany, a period characterized by political and social instabilities. Limes digs into the complex relations between the Roman Empire and the Alemanni tribe, one of the most powerful Germanic tribes of this period. The player can experience this pixelated world through the eyes of an Alemanni child, who forms a friendship with a Roman centurion. The unfolding narrative places the young protagonist in the precarious balance of peace and conflict, and the player needs to navigate the diplomatic tensions of the era. The gameplay consists of five levels, including primary missions and optional secondary missions which unlock special features (e.g., puzzles, quizzes). Limes incorporates a variety of game mechanics, ranging from running and interacting with characters to stealth missions, throwing rocks, and horse racing. These dynamics are integrated into the historical narrative of the game, enriching the player's experience. The game development process combined insights and methods from multiple disciplines, including game-based learning, educational, social, and cultural psychology, education sciences and pedagogy, and history education. Moreover, the game capitalizes on Unity’s wide array of development tools, which provide extensive customization possibilities, and employs pixel art, facilitating an engaging environment while maintaining a cost-conscious development process. Initial tests and expert feedback highlight the promise of Limes as a game that leverages historical accuracy and innovative educational tools to foster a deeper understanding of Roman history. Next steps include empirical studies with students to test the game's effectiveness (e.g., in improving interest in and knowledge of Roman history).

Microsurgical anatomy and the inner architecture of the retrocommissural portion of the hippocampal formation demonstrated through fiber microdissection.

An understanding of the complex nomenclature and 3D spatial relations between the cortical and white matter components of the retrocommissural portion of the hippocampal formation is essential for a successful outcome when performing surgery in the mediobasal temporal region. The goal of this study was to clarify the nomenclature related to the retrocommissural portion of the hippocampal formation and to provide a detailed description of its topography and inner structure from a relevant surgical perspective. This description can serve as an anatomical reference for approaching lesions in the mediobasal temporal region. Fiber microdissection was performed from the superolateral and inferior aspects on 20 previously frozen, formalin-fixed human brains. Three formalin-fixed plastinated brain specimens were then sectioned in the coronal, axial, and sagittal planes, and the relevant sections were studied. Based on its relationship with the corpus callosum, the hippocampal formation is subdivided into precommissural, supracommissural, and retrocommissural sections. The retrocommissural portion of the hippocampal formation, a structure in the mediobasal temporal region, is a component of both the floor of the temporal horn and the medial surface of the cerebral hemisphere. It includes the hippocampus (Ammon's horn and the dentate gyrus), subiculum, and related white matter fibers. Step-by-step microdissection revealed the complex ventricular and cisternal relationships of the retrocommissural portion of the hippocampal formation in the mediobasal temporal region. This further allowed clear distinction of each component of this formation in order to understand their complex reciprocal relationships that comprise a unique internal architecture and external morphology. The fiber microdissection technique provides a valuable perspective for understanding the complex structure and relations of the components of the retrocommissural portion of the hippocampal formation. This study clarifies and supplements the information presently available in the literature by offering an anatomical reference essential for differentiating the topographic diagnosis and safer surgical planning for any lesion within this formation or the mediobasal temporal region.

HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation.

Representation learning in heterogeneous graphs with massive unlabeled data has aroused great interest. The heterogeneity of graphs not only contains rich information, but also raises difficult barriers to designing unsupervised or self-supervised learning (SSL) strategies. Existing methods such as random walk-based approaches are mainly dependent on the proximity information of neighbors and lack the ability to integrate node features into a higher-level representation. Furthermore, previous self-supervised or unsupervised frameworks are usually designed for node-level tasks, which are commonly short of capturing global graph properties and may not perform well in graph-level tasks. Therefore, a label-free framework that can better capture the global properties of heterogeneous graphs is urgently required. In this article, we propose a self-supervised heterogeneous graph neural network (GNN) based on cross-view contrastive learning (HeGCL). The HeGCL presents two views for encoding heterogeneous graphs: the meta-path view and the outline view. Compared with the meta-path view that provides semantic information, the outline view encodes the complex edge relations and captures graph-level properties by using a nonlocal block. Thus, the HeGCL learns node embeddings through maximizing mutual information (MI) between global and semantic representations coming from the outline and meta-path view, respectively. Experiments on both node-level and graph-level tasks show the superiority of the proposed model over other methods, and further exploration studies also show that the introduction of nonlocal block brings a significant contribution to graph-level tasks.

Revisiting dark pasts: the portrayal of Jewish minority and audience responses to the Netflix series The Club

ABSTRACT The Club, a Turkish series exclusively produced for Netflix, challenges the official historical narrative of modern Turkey by depicting the experiences of minorities on the brink of the country’s political upheaval. It highlights the state’s complex relations with its minorities and historical events that are often silenced in the official historical narrative. This study looks at how Turkey’s dark pasts pertaining to its religious minorities are portrayed in The Club and the ways in which its audience respond to these dark pasts. It argues that the audience of The Club recreates the silences about the past, resulting in the denial or rationalization of state violence, while emphasizing a nostalgic multi-cultural past.

Dynamics of Love-type wave propagation in composite transversely isotropic porous structures

The present study aims to analyze the propagation behavior of Love-type wave in a composite transversely isotropic porous structure. The structure comprises an inhomogeneous sandy porous layer lying between a non-homogeneous magneto-poroelastic layer and a heterogeneous fractured porous half-space. Analytic solutions of the field equations of the respective media involve the application of the variable separable method and Wentzel-Kramers-Brillouin (WKB) asymptotic approach for the conversion of partial differential equations into ordinary differential equations. Through careful imposition of boundary conditions and subsequent elimination of arbitrary constants, we derive a complex dispersion relation governing the propagation of Love-type waves. This dispersion equation yields both the phase velocity curve, corresponding to the real expression, and the damping velocity curve, derived from the imaginary expression. To represent our findings, we conduct extensive calculations and graphical simulations illustrating the influence of various material parameters such as heterogeneity, porosity, volume fraction of fractures, sandiness, magnet-oelastic coupling, angle at which wave crosses the magnetic field, and layer thickness on the dispersive nature of Love-type waves using MATHEMATICA software. Furthermore, we conduct case-specific analyses, revealing instances where the dispersion equation simplifies to the standard Love wave equation, thereby validating our mathematical framework. Our findings underscore the significant influence of the aforementioned material parameters on the phase and damping velocities of Love-type wave. This interdisciplinary investigation into different porous media opens new avenues for future research and has significant implications in various disciplines, ranging from engineering and geophysics to environmental science and beyond.

SPLHRNMTF: robust orthogonal non-negative matrix tri-factorization with self-paced learning and dual hypergraph regularization for predicting miRNA-disease associations

MicroRNAs (miRNAs) have been demonstrated to be closely related to human diseases. Studying the potential associations between miRNAs and diseases contributes to our understanding of disease pathogenic mechanisms. As traditional biological experiments are costly and time-consuming, computational models can be considered as effective complementary tools. In this study, we propose a novel model of robust orthogonal non-negative matrix tri-factorization (NMTF) with self-paced learning and dual hypergraph regularization, named SPLHRNMTF, to predict miRNA-disease associations. More specifically, SPLHRNMTF first uses a non-linear fusion method to obtain miRNA and disease comprehensive similarity. Subsequently, the improved miRNA-disease association matrix is reformulated based on weighted k-nearest neighbor profiles to correct false-negative associations. In addition, we utilize L2,1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$L_{2,1}$$\\end{document} norm to replace Frobenius norm to calculate residual error, alleviating the impact of noise and outliers on prediction performance. Then, we integrate self-paced learning into NMTF to alleviate the model from falling into bad local optimal solutions by gradually including samples from easy to complex. Finally, hypergraph regularization is introduced to capture high-order complex relations from hypergraphs related to miRNAs and diseases. In 5-fold cross-validation five times experiments, SPLHRNMTF obtains higher average AUC values than other baseline models. Moreover, the case studies on breast neoplasms and lung neoplasms further demonstrate the accuracy of SPLHRNMTF. Meanwhile, the potential associations discovered are of biological significance.

Foucault and power: UK forest school as a socially constructed space for early years teachers and forest school leaders

ABSTRACT This paper examines power dynamics between early years teachers and Forest School leaders within the Forest School environment, drawing upon a Foucauldian perspective. Building upon Maynard’s (2007) work, the study explores encounters with Foucault's ideas in UK Forest School context to unravel socio-cultural dynamics and investigate how educators negotiate complex power relations. Four participants, comprising two early years teachers and two Forest School leaders, engaged in weekly Forest School sessions with their reception class, that is, children aged 4–5 years over the period of one year. Through thematic analysis, distinct themes of power dynamics, reimagining learning environments, and risk and resilience emerged. Adopting a Foucauldian lens sheds light on challenges encountered by educators in outdoor settings, revealing inherent power dynamics. This study contributes to discourse on theory-practice integration in outdoor education, emphasising the potential for Foucauldian analysis to deepen understanding of power relations within Forest School settings.

The Malacca dilemma of the Raj: the Indian Uprising of 1857, the Second Opium War, and the British proposal of a Kra passage

Abstract In the late 1850s and early 1860s, the idea of building a passage through the Isthmus of Kra in the Malay Peninsula was hotly debated amongst British officials, merchants, and investors. This study finds that the British East India Company's rule over the Straits of Malacca had been a dilemma for itself and British merchants in China. The Second Opium War and the Indian Revolt of 1857 exacerbated the dilemma and pushed some British policymakers and investors to seek an alternative route between India and China. The proposal of the Kra passage was the response and solution to the Malacca dilemma. In historicising the Kra passage proposal and putting it in the context of the British empire's simultaneous crises in Asia in the mid-nineteenth century, the case of the proposed Kra passage reveals the complex relations between different actors within the British empire and the challenges of integrating multiple imperial interests into a British world system

40 The gut microbiota modifies host-parasite interactions

Abstract It is well documented that parasitic infections induce a profound change in the structure and function of host gut microbiota, likely due to infection-associated perturbations in the gut microenvironment. However, the mechanisms remain largely unknown. Here we aim to understand how the gut microbiota is modified by host-parasite relationships or vice versa using an integrated multi-omics analysis in a swine-Ascaris infection model. Female pigs (n = 30; 6 to 8 mo of age) were randomly divided into three groups (n = 10 per group). One group served as normal uninfected controls (NU); the remaining 20 pigs were inoculated per os with ~10,000 infective A. suum eggs; and the infection was allowed to progress for 35 d post-inoculation (dpi). At 21 dpi, one of the infected groups (IP) was treated with a single daily dose of an anthelmintic drug, Panacur, for three consecutive days while the other infected pigs remained untreated (IU). At necropsy, intestine tissue, serum and fecal samples were collected for untargeted metabolome analysis using UPLC-MS/MS and the fecal microbiota was characterized using full-length 16S rRNA gene-based sequencing with DADA2. Fecal and serum metabolites were categorized for their origin using MetOrigin. An integrated multi-omics analysis was performed using DIABLO algorithms and NetCoMi networking tools. Our results showed that A. suum worms were well developed in pigs from the IU group, which harbored a significantly reduced microbiota alpha diversity (Simpson, P < 0.005) compared with NU. The infection altered the abundance of at least 17 bacterial species/strains, including multiple butyrate-producing Clostridium spp., such as C. butyricum. The infection also dysregulated 51 fecal metabolites, including microbiota-derived metabolites such as glutaric acid and p-Cresol sulfate, and succinate of mixed origin. Moreover, the anthelmintic treatment was efficacious and eliminated all worms from the gut. Nevertheless, 11 pathways of both host and microbiota origin were significantly enriched in the gut of pigs from the IP group, including peptidoglycan biosynthesis, histidine metabolism (in both feces and serum), and primary bile acid biosynthesis, suggesting the infection-induced alterations may not be transient. In conclusion, the host microbiota modified swine-Ascaris interactions via three different mechanisms. First, microbiota-derived metabolites directly regulate host gene expression, which in turn affects host physiology and immune responses. Second, plasticity of the gut microbiota allows the exploitation of the niche differentiated upon infection, resulting in blossom of certain strains in the gut of post-treated animals. Lastly, the host microbiota is likely one of the key determinants of parasite gut microbiota, indirectly exerting its effect on parasite physiology and nutrition. Further studies aiming to understand reciprocal yet complex relations between the gut microbiota, the host, and parasites (including parasite gut microbiota) will be conducive to the design of next-generation functional anthelmintics.

SENGraph: A Self-Learning Evolutionary and Node-Aware Graph Network for Soft Sensing in Industrial Processes.

The last decade has witnessed the growing prevalence of deep models on soft sensing in industrial processes. However, most of the existing soft sensing models are developed to learn from regular data in the Euclidean space, ignoring the complex coupling relations among process variables. On the other hand, graph networks are gaining attraction in handling non-Euclidean relations in industrial data. However, the existing graph networks on soft sensing models still suffer from two major issues: 1) how to capture the intervariable structural relations and intravariable temporal dependencies from dynamic and strongly coupled industrial data and 2) how to learn from nodes with distinctive importance for the soft sensing task. To address these problems, we propose a self-learning evolutionary and node-aware graph network (SENGraph) for industrial soft sensing. We first develop a self-learning graph generation (SLG) module to combine the coarse-and fine-grained graphs to capture the global trend and local dynamics from process data. Then, we build a self-evolutionary graph module (EGM) to obtain diversified node features from the entire graph using mutation and crossover strategies. Finally, we design a node-aware module (NAM) to highlight the informative nodes and suppress the less significant ones to further improve the discriminative ability of the downstream soft sensing. Extensive experimental results and analysis on four real-world industrial datasets demonstrate that our proposed SENGraph model outperforms the existing state-of-the-art (SOTA) soft sensing methods.

Children’s limited tooling ability in a novel concurrent tool use task supports the innovation gap

School-aged children have consistently shown a surprising developmental lag when attempting to innovate solutions to tool use tasks, despite being capable of learning to solve these problems from a demonstrator. We suggest that this “innovation gap” arises from tool tasks with more complex spatial relations. Following Fragaszy and Mangalam’s new tooling theory, we predicted that innovating a new “sticker slide” task should be more challenging when two tools need to be used at the same time (concurrently) rather than one at a time (sequentially), despite the similarity of the other task elements. In line with previous work, both versions of the task were challenging for all ages of children (4–9 years) that we tested. However, the youngest group showed particularly extreme difficulties, which was marked by not a single child innovating the concurrent version. Although success significantly increased with age, even the oldest group failed to reach 50% success on the concurrent version of the task, whereas the majority of the two older groups could solve the sequential version. Thus, in this first study of concurrent tool use in children, we found support for the prediction that increasing the complexity of spatial relations in tooling exacerbates the innovation gap.

Parsimonious High‐Resolution Landslide Susceptibility Modeling at Continental Scales

AbstractLandslide susceptibility maps are fundamental tools for risk reduction, but the coarse resolution of current continental‐scale models is insufficient for local application. Complex relations between topographic and environmental attributes characterizing landslide susceptibility at local scales are not transferrable across areas without landslide data. Existing maps with multiple susceptibility classifications under‐represent landslide potential in moderate and gently sloping terrain. We leverage an extensive landslide database (N = 613,724), a high‐resolution digital elevation model (10‐m), and high‐performance computing resources, to develop a new nationwide susceptibility map for the contiguous United States, Hawaii, Alaska, and Puerto Rico. We calculate four alternative linear and nonlinear thresholds of topographic slope and relief using an objective split‐sample calibration. We down‐sample our results to a 90‐m grid to account for uncertainty in the digital elevation model and landslide position, and evaluate these thresholds' ability to differentiate areas of greater susceptibility. The less conservative nonlinear model optimally balances our priorities of capturing observed landslides (99%) while minimizing area covered by susceptible terrain (43%). Independent evaluation with four statewide landslide inventories (N = 172,367) reinforces our model selection but highlights spatially variable performance. Therefore, we propose a novel approach to susceptibility classification using the concentration of landslide‐prone terrain within each down‐sampled grid. While landslides are possible within any cells containing susceptible terrain, those with the highest concentration capture the majority of observed landslides. Our new map characterizes landside susceptibility more consistently than prior models; our transparent classification approach also provides flexibility for accommodating different tolerances in risk reduction measures.

Doing ethics with microbes: toward a queer feminist posthuman framework for bioethics.

The Centre for the Social Study of Microbes (CSSM) at University of Helsinki, Finland is a Wellcome-funded hub for creating new approaches to human-microbial relations. Most urgently, the complex relations between microbes, antimicrobial resistance (in its human-health centered definition, understood as infection and disease now uncurable by antibiotics, threatening human life and wellbeing), animals, environments and climate emergency require new theoretical and methodological approaches. These include a variety of research interest from global fermentation practices and cultures to microbial bioremediation techniques, from aquatic microbes to urban gardens. A key orientation of CSSM is also combining ethnography with artistic and performative practice such as felting, painting, installation, sculpture and audiovisual means, to gain a deeper, more sensory and embodied perspective of our shared lives with microbes. As their agency exists outside textuality, new experimental methodology is needed to engage with it. Thinking with microbes invites many ethical issues that often remain unaddressed in medical and scientific approach. As one of such contributions, we suggest a new framework for bioethics. In a conceptual analysis, a queer feminist posthuman framework aims for radical reorientation of human exceptionalism for more-than-human justice while keeping existing social justice issues between groups of people, such as vulnerabilities cascading around gender and sexual variance, in the same framework. Both a theoretical and practical initiative, seeking to forge solidarity between justice movements, this framework could ground policies relevant to a broader bioethical and philosophical research community, and social scientists studying microbes. This open letter discusses this work at the CSSM.

From employee socialization to co‐evolution: A lifespan multidisciplinary conceptualization

AbstractVarious theories have highlighted how employees evolve in their organization and how organizations influence this process, but only portray part of the complex relations among these interacting social entities. We thus propose a meta‐theory to unify these multiple theories, including symbolic interactionism, employee/organizational socialization theory, human resource management (HRM) systems theory, cultural consensus theory, and self‐determination theory. This integration seeks to increase our understanding of the co‐evolution process unfolding over time between individuals and the organizations to which they belong. We first propose a multilevel expansion of the symbolic interactionist framework typically used to described employee socialization. In doing so, we integrate organizational culture, climate, identity, image, reputation, and HRM systems as distinct meso‐social phenomena that can be simultaneously considered in the co‐evolution process and themselves be influenced by macro‐social processes. We then outline how this proposed framework can explain the dynamic co‐evolution occurring between employees and the organization, hoping to spur research on the improvement of social entities through psychological means.