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Record W3123997860

Stress at Work: A Study of Organizational-Professional Conflict and Unmet Expectations

2002· article· en· W3123997860 on OpenAlexaffabout
Jana Lait, Jean E. Wallace

Bibliographic record

VenueSSRN Electronic Journal · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBureaucracyRole conflictService providerWork (physics)Public relationsAffect (linguistics)Social psychologyService (business)BusinessJob stressPsychologyWork stressSurvey data collectionMarketingJob satisfactionPolitical scienceEngineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

This study examines how certain conditions of work affect human service workers ’ job stress. We propose and assess a model of organizational-professional conflict to determine how professional and bureaucratic conditions of work influence service providers ’ expectations and in turn their job stress. The model was tested using data from a survey of 514 human service providers in Alberta, Canada. The findings suggest that whether service providers ’ expectations are met is critical in explaining job stress. Professional conditions of work relating to working relationships and client interactions are key to fulfilling service providers’ expectations, whereas bureaucratic conditions of work that reflect role conflict and excessive role demands are particularly stressful. An unexpected finding is that bureaucratization of procedures that may limit service workers ’ control over their work does not contribute significantly to their job stress. A major area in the study of professions is the potential for conflict between professionals and the organizations for which they work (Sorensen

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.317
Teacher spread0.293 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2002
Admission routes2
Has abstractyes

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