MétaCan
Menu
Back to cohort
Record W2033619869 · doi:10.1037/1076-8998.7.1.57

Testing a conservation of resources model of the dynamics of emotional labor.

2002· article· en· W2033619869 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Occupational Health Psychology · 2002
Typearticle
Languageen
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsConservation of resources theoryBurnoutPsychologyEmotional laborEmotional exhaustionOccupational stressSocial psychologyApplied psychologyService workerHuman resourcesLabour economicsClinical psychologyEconomicsManagement

Abstract

fetched live from OpenAlex

This study uses S. E. Hobfoll's (1989) conservation of resources theory as a means of examining why emotional labor may or may not result in burnout. A model is developed that proposes that workers attempt to cope with role demands by performing surface or deep acting and that the effect of this expenditure of resources on worker burnout depends on the more immediate rewards of the service encounter and the application of internal and external resources specific to the needs at hand. This model is tested and confirmed using cross-sectional survey responses from 236 working adults. Research and practical implications are discussed.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.254
GPT teacher head0.478
Teacher spread0.224 · 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