Control Work Research Articles

Factors influencing the turnover intention for disease control and prevention workers in Northeast China: an empirical analysis based on logistic-ISM model.

This study aimed to determine the current turnover intention among workers at Centers for Disease Control and Prevention (CDCs) in Northeast China and to investigate the factors contributing to this phenomenon. The cross-sectional study was conducted in May 2023 across four northeastern provinces of China. The study included a total of 11,912 valid participants who were CDC workers selected using a stratified cluster sampling method. The study assessed demographics, turnover intention, work resources, work perceptions, and psychological support through online questionnaires. The binary logistic regression analysis identified the factors associated with turnover intention for CDC workers, while the Interpretative Structural Modelling (ISM) revealed the hierarchical relationship between the influencing factors. The study found that 28.8% of the respondents reported high turnover intention. The binary logistic regression suggested that the risk factors of turnover intention among employees included gender, age, education, and several work-related, organizational, and psychological factors. The work-related factors were daily working hours, job burnout, and role overload. The organizational factor was unit support for training, unit's infrastructure conditions, leadership style, remuneration package and performance appraisal and promotion system. The psychological support factors were family support, professional identity, and organizational commitment. The ISM analysis results showed that the primary factors influencing CDC workers' intention to leave were internally connected and grouped into four categories according to their level of impact: surface, transition, deep, and essential factors. Notably, the essential factors were professional identity and organizational commitment. Nearly one-third of the respondents expressed a strong desire to resign from their employment. Turnover intention among CDC workers was subject to diverse influences. Early identification, detection, and targeted multidisciplinary interventions should be introduced to address the array of factors that affect staff, with particular emphasis on boosting the professional identity and organizational commitment of CDC workers.

‘We want bread and work’: patterns of labour protest and union involvement in Bulgaria

ABSTRACT The end of communism in Central and Eastern Europe resulted in wide-ranging social change, with established practices and relations being overturned in a relatively short period. Labour relations were an area that saw considerable upheaval as unions were released from state control and clandestine worker bodies were able to emerge. This article considers the medium-term effects of these changes by examining the characteristics of labour focused contention in Bulgaria from 2000 to 2019. This was a period during which the uncertainty that characterised the post-transition decade was settling, with new challenges and opportunities in the form of accession to the European Union, the global financial crisis, and the anti-government protests of 2013–2014 shaping the context for labour relations. This article draws on a unique dataset of labour protests to examine the claims, actors, and actions adopted to identify how the labour movement responded to these changes and the degree of trade union involvement in contentious events. The findings suggest there has been a shift from economic claims to encompass broader rights-based issues. They also suggest that unions have been visible in contentious actions but have been joined by a more diverse group of actors in advancing workers’ claims.

Worker Empowerment and Alternative Models of Socialism: A Comparative Investigation

Recently, David Laibman presented a comparative framework to analyze how different models of socialism might empower workers. In the Marxist tradition, popular control over the material conditions of life requires the ability to determine the rate of investment, plan the production of use values, and create an egalitarian system of distribution. In addition, both Marxist and market socialist advocates argue that workers should have the ability to manage the operations of the enterprises in which they work. These goals are not unproblematically compatible since workers within the enterprise must always operate under constraints. The Bolshevik experience with worker's control of enterprises clearly demonstrates this tension. Despite this proviso, the three models of socialism we consider which place popular planning at the center of the socialist project could, in principle, meet all four criteria of worker empowerment. On the other hand, the market socialist alternative permits planning but not the detailed form of democratic planning traditionally advocated by Marxists. In addition, a market socialist model will have difficulty creating an egalitarian distribution system. Despite these drawbacks, the paper concludes by arguing that the market socialist model provides the best framework for empowering workers during a period of transition to a more robust planning regime.

Algorithmic Performance Management in Higher Education: Viva! 365 Ways of Surveillance

This paper maps the emergence and consequences of automated Algorithmic Performance Management (APM) in the context of higher education. After reviewing the evolution of productivity management in academia, it argues that surveillance via APM shifts expectations not just about effectiveness at work but also about how work, and the good worker, come to be defined. In our paradigmatic case study of Office 365, we specify how the automated surveillance of workforce practices are deployed to redefine productivity in higher education: productive workers become good data subjects as well as producers of papers, grants, and other traditional outputs of success. Our analysis suggests performing well at work is managed in and by the platform via logics of the surveillance of wellness, time-regulation, and social connectivity to influence, manage, and control workers. We critique these automated performance measures in terms of platform capitalism, noting Office 365’s Viva Insights function as a telematic device of surveillance. The final section of the paper places these trends in Australia’s socio-legal context by showing how Viva is insufficient for considering performance given the range of practices that constitute “academic work,” including but not limited to the need for unmonitored activity. Yet, we observe that currently little can be done about Office 365’s surveillant presence given a regulatory regime that by and large excludes productivity surveillance from the scope of regulated surveillance activities.

Determination of pesticide residues in urine by chromatography-mass spectrometry: methods and applications.

Pollution has emerged as a significant threat to humanity, necessitating a thorough evaluation of its impacts. As a result, various methods for human biomonitoring have been proposed as vital tools for assessing, managing, and mitigating exposure risks. Among these methods, urine stands out as the most commonly analyzed biological sample and the primary matrix for biomonitoring studies. This review concentrates on exploring the literature concerning residual pesticide determination in urine, utilizing liquid and gas chromatography coupled with mass spectrometry, and its practical applications. The examination focused on methods developed since 2010. Additionally, applications reported between 2015 and 2022 were thoroughly reviewed, utilizing Web of Science as a primary resource. Recent advancements in chromatography-mass spectrometry technology have significantly enhanced the development of multi-residue methods. These determinations are now capable of simultaneously detecting numerous pesticide residues from various chemical and use classes. Furthermore, these methods encompass analytes from a variety of environmental contaminants, offering a comprehensive approach to biomonitoring. These methodologies have been employed across diverse perspectives, including toxicological studies, assessing pesticide exposure in the general population, occupational exposure among farmers, pest control workers, horticulturists, and florists, as well as investigating consequences during pregnancy and childhood, neurodevelopmental impacts, and reproductive disorders. Such strategies were essential in examining the health risks associated with exposure to complex mixtures, including pesticides and other relevant compounds, thereby painting a broader and more accurate picture of human exposure. Moreover, the implementation of integrated strategies, involving international research initiatives and biomonitoring programs, is crucial to optimize resource utilization, enhancing efficiency in health risk assessment.

ANALYSIS OF EFEECTIVENESS OF CRITICAL CONTROL IMPLEMENTATION USING PLANNED JOB OBSERVATION IN DIVISION X PT. A

International Council of Mining and Metals (ICMM) constructed a framework of Critical Control Management (CCM) to prevent fatality. PT A still experienced the accident with TRIR 0.168 in 2020 then increased 0.176 in 2021. This study aimed to assess the effectiveness of CC in Mining Industry Division X PT A. Semi-quantitative study with descriptive model conducted in Division X PT. A. Data collected according to 5 main variables, namely supervisory system, hierarchy of control implementation, control implementation, policy conformity, and hazards and risks compliance. Primary data was collected from 17 supervisors who had Planned Job Observation (PJO) responsibility through questionnaire and in-depth interviews. Secondary data was HIRADC collected from 11 departments. Data analysis was conducted by descriptive statistical analysis and content analysis. PJO result indicated 20.9% inadequate result related to work practice. Control effectiveness questionnaire signified adequate result for all 5 variables with very suitable result. In addition, in-depth interviews resulted in positive findings in all variables and negative findings for supervisory system, hierarchy of control implementation, and control implementation. Overall, the effectiveness of CC in Division X PT. A still needs to be improved, especially for the aspects of work practice control enforcement and workers’ attitude towards CC.

Specific CpG sites methylation is associated with hematotoxicity in low-dose benzene-exposed workers

Benzene is a broadly used industrial chemicals which causes various hematologic abnormalities in human. Altered DNA methylation has been proposed as epigenetic biomarkers in health risk evaluation of benzene exposure, yet the role of methylation at specific CpG sites in predicting hematological effects remains unclear. In this study, we recruited 120 low-level benzene-exposed and 101 control male workers from a petrochemical factory in Maoming City, Guangdong Province, China. Urinary S-phenylmercapturic acid (SPMA) in benzene-exposed workers was 3.40-fold higher than that in control workers (P < 0.001). Benzene-induced hematotoxicity was characterized by reduced white blood cells counts and nuclear division index (NDI), along with an increased DNA damage and urinary 8-hydroxy-2′-deoxyguanosine (all P < 0.05). Methylation levels of TRIM36, MGMT and RASSF1a genes in peripheral blood lymphocytes (PBLCs) were quantified by pyrosequencing. CpG site 6 of TRIM36, CpG site 2, 4, 6 of RASSF1a and CpG site 1, 3 of MGMT methylation were recognized as hot CpG sites due to a strong correlation with both internal exposure and hematological effects. Notably, integrating hot CpG sites methylation of multiple genes reveal a higher efficiency in prediction of integrative damage compared to individual genes at hot CpG sites. The negative dose–response relationship between the combined methylation of hot CpG sites in three genes and integrative damage enabled the classification of benzene-exposed individuals into high-risk or low-risk groups using the median cut-off value of the integrative index. Subsequently, a prediction model for integrative damage in benzene-exposed populations was built based on the methylation status of the identified hot CpG sites in the three genes. Taken together, these findings provide a novel insight into application prospect of specific CpG site methylation as epi-biomarkers for health risk assessment of environmental pollutants.

How Major Tech Firms Used Illegal “No-Poach” Agreements to Control Workers’ Salaries

How Major Tech Firms Used Illegal “No-Poach” Agreements to Control Workers’ Salaries

Study on the development process of apron controller's work fatigue based on heart rate characteristics

In order to study the fatigue development and change pattern of apron controllers in the process of each work, experiments were carried out at Beijing Daxing International Airport, and the physiological data of personnel were collected by smart band senselessly. The incremental relationship between heart rate characteristics and personnel reaction time before and after work was compared and analyzed; the change in duty time, workload and heart rate of controllers were studied quantitatively, and the regulatory role of the body and fatigue changes were analyzed, then the pattern of heart rate changes with fatigue development was found. The results of the study showed that the heart rate characteristics were related to the workload of the controllers, correlated with the change pattern of personnel reaction time characteristics. The p-values are less than 0.05. So the fatigue state of personnel could be objectively characterized by heart rate. The heart rate of apron controllers showed a jittering decreasing trend during 3 h of work, and its distribution showed obvious banded dense areas. The relative heart rate gradually decreases from 0.6 to about 0.2. The 95% confidence intervals for time of the occurrence of minimal values of heart rate during the first 2 h and the last 1 h of work time were statistically estimated as [57.38,81.42] and [143.79,155.45] respectively, and further calculated the corresponding confidence intervals for number of flights, which are the possible fatigue severity intervals. The study can provide valuable references for controller shift management and personnel status monitoring timing during daily work.

Algorithmic control and gig workers’ facades of conformity: A work stress perspective

I examined the relationship between algorithmic control and gig workers’ facades of conformity by investigating the underlying mechanism. Drawing on the challenge???hindrance stress model, I explored the mediating role of challenge stress and hindrance stress in this relationship. Then, by using data collected from an online food delivery platform in China, I demonstrated that hindrance stress positively mediated the relationship between algorithmic control and facades of conformity, but the mediating effect of challenge stress was not significant. This study contributes to the emerging research field of algorithmic control by not only empirically examining its effect on gig workers’ psychological and behavioral outcomes, but also exploring the underlying mechanisms between algorithmic control and gig workers’ facades of conformity. It offers a reference point and guidance for managers of gig economy enterprises.

Urinary dialkylphosphate metabolites in the assessment of exposure to organophosphate pesticides: from 2000 to 2022.

The general population and workers are exposed to organophosphate insecticides, one of the leading chemical classes of pesticides used in rural and urban areas, in the control of arboviruses and agriculture. These pesticides cause environmental/occupational exposure and associated risks to human and environmental health. The objective of this study was to carry out an integrative review of epidemiological studies that identified and quantified dialkylphosphate metabolites in the urine of exposed populations, focusing on the vector control workers, discussing the application and the results found. Searches utilized the Pubmed, Scielo, and the Brazilian Digital Library of Theses and Dissertations (BDTD) databases between 2000 and 2021. From the 194 selected studies, 75 (39%) were with children/adolescents, 48 (24%) with rural workers, 36 (19%) with the general population, 27 (14%) with pregnant women, and 9 (4%) with vector control workers. The total dialkylphosphate concentrations found in the occupationally exposed population were higher than in the general population. Studies demonstrate that dialkylphosphates are sensitive and representative exposure biomarkers for environmental and occupational organophosphate exposure. The work revealed a lack of studies with vector control workers and a lack of studies in developing countries.

Expert consensus on off-label use of antituberculosis drugs (2023 Update)

In 2018, Chinese Society of Tuberculosis, Chinese Medical Association organized and wrote the Expert consensus on off-label use of antituberculosis drugs, which covered more comprehensively the contents related to off-label use of antituberculosis drugs, and was the basis for clinical workers to exceed the drug instructions for the use of antituberculosis treatment in irreplaceable cases, and was also a good regulation for off-label use, which had a great guiding effect on clinical work. In the last four years, with the reported national and international research results, the anti-tuberculosis treatment drugs have been adjusted and there are more new advances in the use of some drugs. For this reason, Chinese Society for Tuberculosis, Chinese Medical Association has updated the expert consensus on off-label use of antituberculosis drugs. This consensus included isoniazid, rifamycins (rifampicin, rifapentine), fluoroquinolones (levofloxacin, moxifloxacin), linezolid, clofazimine, bedaquiline, delamanid, aminoglycosides (streptomycin, amikacin), and β-lactam antibacterial (imipenem/cilastatin, meropenem), and a total of 13 drugs in 9 categories were reviewed for off-label use, overdose, route of administration and patient populations. The GRADE evidence classification method was used to conduct a systematic evaluation of evidence quality and recommended strength. The revised consensus provides a reference for tuberculosis prevention and control workers in China for standardized drug use and rationalized treatment, and therefore for improved effectiveness and better patient benefits.

Використання комп’ютерних технологій для активізації самостійної роботи студентів з теоретичної механіки

The article substantiates the necessity of students' independent work. An example of the use of computertechnologies and programs to activate and optimize their work is given.The purpose of the article is to substantiate the given methodology of using computer technologies andprograms to activate and optimize their independent work on theoretical mechanics.The main goal of higher education is to make a student a specialist who is capable of developing andmastering new knowledge in accordance with modern requirements. That is, the future specialist must not onlylearn knowledge, but also creatively apply it, be able to pose new problems, analyze options for theirimplementation and find the right optimal results. When working independently, the purpose of each task mustbe understood, that is, to complete the task, students rely on their knowledge, subject skills, experience instudying this discipline, as well as the ability to use teaching methods. In the process of independent work, thestudent can: learn theoretical material from this discipline; consolidate knowledge of the theoretical materialin a practical way (performance of calculation and graphic works (CGW), control works (CW) etc.); useacquired knowledge and practical knowledge to analyze the situation and work out the right decision, to formone's own position, theory, model. Therefore, the student's independent work is the basis of the educationalprocess and forms such personality traits as: independence; creative attitude to work; responsibility; ability to54plan work; the ability to choose the method (methods) of the fastest and most rational solution to the problem (task); the ability to quickly and qualitatively make corrections in the execution process and analyze the work performed and build ways for further work.It should be emphasized that independent work is performed in a higher educational institution, dormitory, home environment, computer center without the direct participation of a teacher. But when performing the work, the student relies on his knowledge, skills, experience in the discipline, which he receives under the guidance of the teacher.

Noise-Related Hearing Disorder Among Vector Control Workers in Kuala Lumpur.

Introduction Noise-related hearing disorder (NRHD) is the second most common sensorineural hearing loss, right after age-related hearing loss (presbycusis). It is the highest reported occupational diseaseand a major compensable occupational hazard in Malaysia. With the increase in dengue cases, the need for vector control workers to control the spread of dengue at the expense of being exposed to noisy fogging machines is critical. Methods This was a cross-sectional study of vector control workers conducted by a local authority in Kuala Lumpur. Participants were categorised as either vector control workers who were directly involved in fogging activities or those who were not. A self-administered questionnaire was used to collect sociodemographic, medical and occupational information. NRHD was confirmed by an audiogram test. Results This study found a high prevalence of NRHD among vector control workers exposed to fogging activity (occupational noise hazards), with 51.4% of them experiencing this condition. The predictors of NRHD include fogging status adjusted odds ratio (aOR)1.94 (95% CI: 1.19 - 3.17), sex 18.28 (95% CI: 2.33 - 143.16) and age 2.03 (95% CI: 1.27 - 3.25). Conclusion The findings of this study imply that vector control workers are at risk of NRHD. The predictors of NRHD are fogging status, sex and age. These findings emphasise the major impact of occupational noise hazards on NRHD and emphasise the importance of addressing this issue to preserve employees' health; especially among male and older employees with chronic noise exposure.

Alteration of genome-wide DNA methylation in non-uranium miners induced by high level radon exposure.

In China, according to statistics about underground non-uranium mine radon levels, 15% exceed the national standard intervention level of 1000Bq/m3, and some mines may exceed 10,000Bq/m3. The relationship between radon exposure in underground miners and lung cancer has already been established, but the mechanisms and biological processes underlying it are poorly understood. In order to identify the genome-wide DNA methylation profile associated with long-term radon exposure, we performed the Infinium Human Methylation 850K BeadChip measurement in whole blood samples obtained from 15 underground non-uranium miners and 10 matched aboveground control workers. Radon concentrations in the air of workplaces and living environments were measured by CR-39 radon detectors, and annual effective doses were calculated using the detection data. Under the high radon concentration with an average value of 12,700Bq·m-3, a total of 165 significant differentially methylated positions (127 hypermethylated sites and 38 hypomethylated sites) annotated to 71 genes were identified in underground miners (|Δβ| ≥ 0.10, p<0.05), and the average DNA methylation level of 165 DMPs was significantly higher than that of the control workers. Most DMPs were found on chromosome 1, and approximately one-quarter of them were located in genomic promoter regions. Through bioinformatics analysis and pyrosequencing validation, five candidate genes differentially methylated by radon, including TIMP2, EMP2, CPT1B, AMD1 and SLC43A2 were identified. GO and KEGG analysis implicated that long term radon exposure could induce the lung cancer related biological processes such as cell adhesion and cellular polarity maintenance. Our study provides evidence for the alterations of genome-wide DNA methylation profiles induced by long-term high level radon exposure, and new insights into searching for carcinogenic biomarkers of high radon exposure in future studies.

Outreach Vector Control Worker's Knowledge, Attitude and Practices Towards Mosquito Control and Associated Diseases.

Mosquito Control Programs are articulated to control Mosquito Borne Diseases and success of such programs depends on the activities of field workers, and their adherence to the standard operating procedures (SOP's) is governed by their knowledge, attitudes, and practices (KAP). Present study was intended to assess the KAP of mosquito control workers of Pakistan to get an exact depiction of prevailing situation. A cross-sectional descriptive study was conducted in March-April 2020. Questionnaire containing 30 closed and open-ended questions were administrated to participants. Knowledge and practices were evaluated using a scoring system i.e., by giving 1 point to each correct answer while attitude questions were analyzed individually and expressed in percentage for each response. Total 639 workers were interviewed, mean age was 29.8 (SD ±7.87) years, majority (65.1%) was in age group of 18-30 years. Mean knowledge score was 6.96±1.28 (range 0-9) with 77.36% correct answers (P= 0.073). Mean practices score was 7.00±1.62 (range 2-9) with 77.83% appropriate answers (P< 0.001). Both knowledge and practices scores were higher for permanent employees, practices score increased with increase in job experience. Very weak positive correlation (r= 0.127) was observed between knowledge and practice scores. Appropriate practice correlates with better knowledge and positive attitude towards control activities. Hence, training on protection and protective measures for having a positive attitude among healthcare workers is necessary against the fight with mosquitoes.

Bioaccumulation of Chloropyrifos Organo-pesticide and Its Toxicogenic Association with Antioxidant GSTP1 in Pakistani Pest Control Workers.

Synthetic pesticides are employed to enhance agricultural production. Chronic exposure to organophosphate (OP) pesticides may be a source of health problems. The present study was designed to examine an association of GSTP1 (rs1695) polymorphism with OP pesticide chronic exposure. A case-control study was recruited with 250 subjects comprising exposed (n = 100) and controls (n = 150). A survey was conducted to determine the pesticide type to which workers had exposed. According to recorded survey assessment, two compounds of OP pesticides chloropyrifos and malathion were investigated in the blood samples of exposed study subjects using high-performance liquid chromatography (HPLC). For screening of genetic polymorphism in GSTP1 (rs1695) polymerase chain reaction, restriction length polymorphism (PCR-RFLP) and agarose gel electrophoresis were performed. Statistically, data were analyzed using SPSS v. 20.0 and MedCal© software. Total chrom© navigator programmer was used for detection of OP residues in serum and local pesticide solution. chloropyrifos-OP pesticide residues were detected in serum of estimated chronically exposed subjects at 206nm HPLC optimal conditions. The pattern of GSTP1 (rs1695) genotypic frequencies depicted that heterozygous genotype was higher in Chloropyrifos exposed subjects (0.56) when compared with controls (0.44). Statistical outcomes showed an insignificant association with GSTP1 (rs1695) polymorphism and chloropyrifos-OP pesticide toxicity (Fisher's exact test 1.0, p = 0.25). An insignificant allelic investigation reflected a protective effect of mutant allele G against chloropyrifos-OP pesticide toxicity in exposed subjects. Findings may be helpful in identifying bioaccumulated pesticide residues, but in studied Pakistani exposed workers, no significant association of GSTP1 (rs1695) variant with chloropyrifos-OPs was demonstrated.

Study of the prediction of gamma passing rate in dosimetric verification of intensity-modulated radiotherapy using machine learning models based on plan complexity.

To predict the gamma passing rate (GPR) in dosimetric verification of intensity-modulated radiotherapy (IMRT) using three machine learning models based on plan complexity and find the best prediction model by comparing and evaluating the prediction ability of the regression and classification models of three classical algorithms: artificial neural network (ANN), support vector machine (SVM) and random forest (RF). 269 clinical IMRT plans were chosen retrospectively and the GPRs of a total of 2340 fields by the 2%/2mm standard at the threshold of 10% were collected for dosimetric verification using electronic portal imaging device (EPID). Subsequently, the plan complexity feature values of each field were extracted and calculated, and a total of 6 machine learning models (classification and regression models for three algorithms) were trained to learn the relation between 21 plan complexity features and GPRs. Each model was optimized by tuning the hyperparameters and ten-fold cross validation. Finally, the GPRs predicted by the model were compared with measured values to verify the accuracy of the model, and the evaluation indicators were applied to evaluate each model to find the algorithm with the best prediction performance. The RF algorithm had the optimal prediction effect on GPR, and its mean absolute error (MAE) on the test set was 1.81%, root mean squared error (RMSE) was 2.14%, and correlation coefficient (CC) was 0.72; SVM was the second and ANN was the worst. Among the classification models, the RF algorithm also had the optimal prediction performance with the highest area under the curve (AUC) value of 0.80, specificity and sensitivity of 0.80 and 0.68 respectively, followed by SVM and the worst ANN. All the three classic algorithms, ANN, SVM, and RF, could realize the prediction and classification of GPR. The RF model based on plan complexity had the optimal prediction performance which could save valuable time for quality control workers to improve quality control efficiency.

Meaningful Work and Achievement in Increasingly Automated Workplaces

As automating technologies are increasingly integrated into workplaces, one concern is that many of the human workers who remain will be relegated to more dull and less positively impactful work. This paper considers two rival theories of meaningful work that might be used to evaluate particular implementations of automation. The first is achievementism, which says that work that culminates in achievements to workers’ credit is especially meaningful; the other is the practice view, which says that work that takes the form of an open-ended practice is especially meaningful. Of the two, the practice view is the better tool for assessing the future of meaningful work, because achievementism is explanatorily inadequate in two ways. Moreover, the practice view can explain why the most meaningful forms of work cannot be automated. A procedure can only be automated as long as the steps are defined, whereas, in such work, which steps to take is indefinitely open to redefinition. This reveals the real threat to meaningful work to be a political-economic one. The relevant ethical questions there have to do with how much creative control workers retain in crafting their own jobs, when those jobs involve meaningful work in collaboration with machines; and how to liberate workers from jobs that do not involve meaningful work, which should be left to machines anyway.

Professor-in-Training: Status Control of the Teaching Assistant

I examine the role of apprenticeship status in controlling the labor of unionized graduate student teaching assistants (TAs). In her book Coerced, Erin Hatton identifies status as a basis of labor coercion—particularly in nontraditional labor regimes—in which managers control workers’ access to status-based rights, rewards, and punishments. I expand Hatton's concept of status coercion to status control and distinguish between two types: despotic, in which status coercion prevails, and hegemonic, in which status consent prevails. I argue that status control of TAs is hegemonic, relying on their investment in a system of apprenticeship in which course instructors are a source of professional advancement, opportunity, and support outside of the TA job. I draw on autoethnographic fieldwork to analyze one expression of TA control, participatory management. In this model, the faculty instructor invites TAs to collaborate on course design and encourages routine discussion of teaching strategies, in which hidden labor is made regulable through “confession”. Identification with the instructor limits TA autonomy by disrupting alliances between TAs, and between TAs and students. I conclude by sketching variations in TA management and by discussing status control as a broader mechanism of extraction in the contemporary university.