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Record W2161745523 · doi:10.1111/1744-7941.12082

Exploring aspects of workplace climates in <scp>C</scp> anada: implications for the human resources of health‐care

2015· article· en· W2161745523 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

VenueAsia Pacific Journal of Human Resources · 2015
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsImperial Oil (Canada)University of VictoriaUniversity of Lethbridge
Fundersnot available
KeywordsOrganisation climateHuman resourcesConstruct (python library)Exploratory researchHealth careEnvironmental resource managementHealth human resourcesClimate changeHuman resource managementBusinessHuman servicesHuman healthPsychologyPublic relationsKnowledge managementPolitical scienceSociologyMedicineEcologyEnvironmental healthEnvironmental science

Abstract

fetched live from OpenAlex

Recently, researchers on organizational climate have focused on the ‘issue‐specific’ nature of climate, such as the climate for safety or service, or, in this case, the climate for human resources. This has resulted in a clearer connection between specific climates and relevant outcomes. The purpose of this paper is to present the findings from an exploratory study that was conducted in C anada that served to help us understand the aspects of workplace climate with a focus on human resources ( HR ). In this study, interview data was collected from 14 HR managers from across western C anada, some of which were from healthcare organizations. The benefit of this research is to better understand the current climate within organisations and to develop a construct for HR climates that can be used to build capacity in the research, training, and practice of HR within health‐care (and other industries) in C anada.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.116
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.249
GPT teacher head0.455
Teacher spread0.206 · 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