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Record W2744984017 · doi:10.1111/cars.12152

“Stuck in the Middle with You?” Supervisory Level and Anger about Work

2017· article· en· W2744984017 on OpenAlexaffabout
William Magee, Laura Upenieks

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAngerStressorPsychologySocial psychologyCommodificationWork (physics)Occupational stressDemographic economicsClinical psychologyEngineeringEconomics

Abstract

fetched live from OpenAlex

Although sociologists have long been interested in the stratification of emotions, the occupational stratification of anger has been investigated in only a few general population studies. Through analyses of data representative of workers in Toronto, we evaluate the hypothesis that workplace hierarchical position, defined by supervisory level, has an inverted u-shaped association with the frequency of anger about work. We also evaluate the more specific hypothesis that the difference in work-related anger between front-line supervisors and nonsupervisory workers will be relatively larger among workers in the commodified services sector than other sectors. Results are generally consistent with our hypotheses. We find that both front-line supervisors in the commodified services sector, and secondary supervisors in all employment sectors, report more frequent anger about work than do nonsupervisory workers. In contrast, higher level supervisors report anger about work at about the same frequency as nonsupervisory workers. These associations are only slightly reduced by controls for work stress and stressors. We discuss how supervisory relations might explain differences in anger about work among workers at different levels in organizational hierarchies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.238
GPT teacher head0.336
Teacher spread0.098 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Review of Sociology/Revue canadienne de sociologieSame topicEmotional Labor in ProfessionsFrench-language works237,207