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Record W2066491778 · doi:10.1097/hcm.0b013e3182619efc

Validation of the French and English Versions of the Worklife Pulse Survey

2012· article· en· W2066491778 on OpenAlexaffabout
Geneviève L. Lavigne, Charles Sounan, Mélanie Lavoie‐Tremblay, Jonathan I. Mitchell, Bernadette MacDonald

Bibliographic record

VenueThe Health Care Manager · 2012
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsMcGill University
Fundersnot available
KeywordsComparabilityAccreditationPsychosocialPsychologyHealth careApplied psychologySurvey researchMedical educationMedicinePolitical science

Abstract

fetched live from OpenAlex

A clear and rapid understanding of a health care organization's Quality Work Life is highly important as it can inform decision makers of issues that could impact their workers' psychological and physical health. Research has shown there is a relationship between workers' psychosocial work environment and their health and well-being. The Worklife Pulse Survey is a 21-item questionnaire providing a snapshot of health care organizations' Quality Work Life. This tool is deployed as part of Accreditation Canada's Qmentum accreditation program and is available both in English and in French. The present research sought to validate the 2 versions of the survey as well as the comparability of the generated data. The results obtained from 9578 French-speaking and 16 398 English-speaking respondents support the validity of both versions of the Worklife Pulse Survey as well as the comparability of the responses for all participants, for each gender separately, and for each age group separately.

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)0.031
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.352
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 designBench or experimental
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
Published2012
Admission routes2
Has abstractyes

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