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Who says men can never change?

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Abstract Language change in Modern Standard Chinese has been an area of research interest for several decades. However, the field continues to be characterized by a focus on written Chinese, with a lack of systematic, fine-grained analyses of specific morphosyntactic features in spoken Mandarin and a dearth of diachronic spoken data. This paper aims to address these shortcomings by examining recent developments in the use of the plural marker men based on an analysis of its use in a diachronic corpus of spoken Mandarin spanning 2005 to 2020. The study reveals several indications of language change, including an increase in the overall frequency of use, a shift in the semantic distribution of nouns undergoing pluralization, and a weakening of the correlation with definite reference. Incipient changes in the use of the plural marker men in spoken Mandarin suggest a trend in morphological patterns of behavior in some contexts towards those of plural suffixes in languages with obligatory grammatical marking for number. The pedagogical implications of this research are also discussed.

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There has been a trend toward increasing antidepressant (AD) use in recent decades. We used data from the National Population Health Survey (NPHS) to determine whether this trend is continuing and to provide updated estimates of the frequency of use. The NPHS is a longitudinal general health survey that began collecting data in 1994. The NPHS evaluates past-year major depressive episodes (MDEs) using a brief diagnostic instrument. At each biannual interview (from 1994 to 2006) current medication use is recorded. We estimated the frequency with which ADs were taken by respondents (aged 12 years and older) with and without past-year MDEs. These frequencies were cross-tabulated by sex, year of interview, and the reported duration of symptoms. ADs are taken by about 5.4% of the household population at any point in time. Most respondents taking ADs did not report past-year MDEs but 63.9% of respondents taking ADs in the absence of past-year episodes reported previous episodes or being diagnosed by a health professional with depression. This pattern is consistent with long-term treatment for relapse prevention. The overall frequency of use of ADs is increasing only in respondents without past-year episodes. AD use among community residents with past-year MDEs is no longer increasing. The continued increase in the overall frequency of use may point toward broadening indications for AD treatment and may indicate that people are taking these medications for longer periods of time.

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Societies continually evolve and speakers use new words to talk about innovative products and practices. While most lexical innovations soon fall into disuse, others spread successfully and become part of the lexicon. In this paper, I conduct a longitudinal study of the spread of 99 English neologisms on Twitter to study their degrees and pathways of diffusion. Previous work on lexical innovation has almost exclusively relied on usage frequency for investigating the spread of new words. To get a more differentiated picture of diffusion, I use frequency-based measures to study temporal aspects of diffusion and I use network analyses for a more detailed and accurate investigation of the sociolinguistic dynamics of diffusion. The results show that frequency measures manage to capture diffusion with varying success. Frequency counts can serve as an approximate indicator for overall degrees of diffusion, yet they miss important information about the temporal usage profiles of lexical innovations. The results indicate that neologisms with similar total frequency can exhibit significantly different degrees of diffusion. Analysing differences in their temporal dynamics of use with regard to their age, trends in usage intensity, and volatility contributes to a more accurate account of their diffusion. The results obtained from the social network analysis reveal substantial differences in the social pathways of diffusion. Social diffusion significantly correlates with the frequency and temporal usage profiles of neologisms. However, the network visualisations and metrics identify neologisms whose degrees of social diffusion are more limited than suggested by their overall frequency of use. These include, among others, highly volatile neologisms (e.g., poppygate) and political terms (e.g., alt-left), whose use almost exclusively goes back to single communities of closely-connected, like-minded individuals. I argue that the inclusion of temporal and social information is of particular importance for the study of lexical innovation since neologisms exhibit high degrees of temporal volatility and social indexicality. More generally, the present approach demonstrates the potential of social network analysis for sociolinguistic research on linguistic innovation, variation, and change.

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Poly-drug use has increased in recent decades, especially in young drugusing groups. Classic epidemiological indicators of drug use, such as prevalence and incidence of users of specific substances, are not adequate as measures of the possible harms of poly-drug use. We applied poly-drug use indicators, based on substance-specific harm scores reported by van Amsterdam and Nutt in 2015, to data from high school student surveys, showing their usefulness in identifying high-risk drug consumption. Analysing the 'correlation' between high-risk drug use of high school students and school dropout allows the evaluation of adopted prevention policies and may suggest more suitable approaches. Each drug user is characterized by two specific scores: overall frequency of use of substances during the period of interest (FUS) and poly-drug use score (PDS). The poly-drug use score is a weighted average of the harm scores of the individual substances used multiplied by their respective frequencies of use. The PDS increases with the frequency of use, with the number of substances used, and with the specific harm scores of each substance. This indicator consists of two components, one representing the health harm score toward self and the other the social harm score toward others. The indicators have been applied to sample data involving youth population, specifically the ESPAD®Italia survey data on high school students conducted annually in Italy. The trends of poly-drug use at different ages of students, 15-19 years, over time, and gender have been studied. The results have been linked to educational outcomes, early school leaving and social aspects, making it possible to assess present prevention interventions and suggest appropriate planning of future prevention interventions. Poly-drug use indicators allow a comprehensive quantitative evaluation of the risks of drug use. The analysis of the links between heavy use of drugs, school performance and dropout, and the social variables that influence them, shown in this work, suggests how best to plan secondary or indicated prevention interventions at school. The problem of including "new" NPS in analyses is also briefly discussed.

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  • Oct 23, 2018
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This study examines a semi and a full English-medium instruction (EMI) undergraduate program offered at a Catalan university in order to measure its effect on the students’ oral output. Specifically, it tackles the acquisition of pragmatic markers (PMs) by measuring four variables, the overall frequency of use, the variety of types, the use of textual PMs, and the use of interpersonal PMs. Oral data were collected via a monologue and an interaction task. The study is cross-sectional with 39 full-EMI and 33 semi-EMI participants in 2nd and 3rd year of study plus 10 native speakers. PM use was chosen for analysis due to the important role they play in communicative competence. Results show a significant increase in the overall frequency and variety of types of PMs used from year 2 to year 3. The full-EMI group used PMs at a significantly higher frequency and wider variety when compared to the semi-EMI group, neither group reached baseline levels for use of interpersonal PMs, and both groups displayed a higher use of textual PMs compared to the NSs.

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