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Record W2086425350 · doi:10.1097/jom.0b013e31823ccb2f

Implementation of an Organizational-Level Intervention on the Psychosocial Environment of Work

2011· article· en· W2086425350 on OpenAlexafffund
Henna Hasson, Mahée Gilbert‐Ouimet, Geneviève Baril-Gingras, Chantal Brisson, Michel Vézina, Renée Bourbonnais, Sylvie Montreuil

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2011
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsHôpital du Saint-Sacrement
FundersCanadian Institutes of Health Research
KeywordsPsychosocialIntervention (counseling)PerceptionWork (physics)PsychologyOrganizational changeWork environmentApplied psychologyNursingMedicineJob satisfactionSocial psychologyPublic relationsPsychiatryEngineering

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare employees' and managers' perceptions of implemented changes in an organizational-level workplace intervention. METHODS: Nine departments participated in an intervention aimed at reducing adverse psychosocial work environment factors. On the basis of a prior risk evaluation, department managers were responsible for decisions and implementation of the intervention, that is, work changes. These were recorded in logbooks, which were compared to employees' questionnaire ratings of the changes. RESULTS: For half of the changes, proportion of employees reporting that a specific change was implemented did not correspond with the amount of manager-reported changes. CONCLUSIONS: Evaluation of employees' and managers' perceptions of an organizational-level intervention is crucial, since these perceptions do not necessarily fully correspond. Employees perceived changes that were not reported by department managers and they also did not perceive exposure to all changes reported by the managers.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
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 science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.078
GPT teacher head0.397
Teacher spread0.320 · 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 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

Citations40
Published2011
Admission routes2
Has abstractyes

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