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Record W2954842363 · doi:10.1177/1360780419846507

Workplace Harassment Interventions and Labour Process Theory: A Critical Realist Synthesis of the Literature

2019· article· en· W2954842363 on OpenAlexafffund
Elizabeth Quinlan, Susan Robertson, Tracey Carr, Angie Gerrard

Bibliographic record

VenueSociological Research Online · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsHarassmentPsychological interventionSociologyEmpirical researchComplaintIntervention (counseling)Public relationsSocial psychologyPsychologyEpistemologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Workplace harassment, from a labour process theoretic perspective, is a consequence of the convergence of several historical trends that affect the way work is organized under contemporary capitalism. On this view, interventions such as communication skills training, complaint procedures, and workplace policies have limited chance of eliminating harassment in the workplace. However, there is minimal research identifying, testing, and refining the theories accounting for how and why particular interventions work and under what circumstances. Our critical realist evaluation of the workplace harassment intervention literature responds to this gap. The mid-range theory of workplace harassment interventions presented in this article derives from the synthesized literature, augmented by Habermasian theory of social transformation to elaborate intervention mechanisms as lifeworld impulses. The provisional propositions of the mid-range theory are offered to inspire their empirical testing for the theory’s further refinement.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.005
Science and technology studies0.0050.017
Scholarly communication0.0100.011
Open science0.0020.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
GPT teacher head0.392
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations9
Published2019
Admission routes2
Has abstractyes

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