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Record W1647349330 · doi:10.3233/wor-2000-00075

Organizational culture, climate and person-environment fit: Relationships with employment outcomes for mental health consumers

2000· article· en· W1647349330 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

VenueWork · 2000
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOrganisation climateOrganizational cultureMental healthPsychologyOrganizational commitmentPopulationSocial psychologyApplied psychologyPublic relationsMedicineEnvironmental healthPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Although the effects of organizational culture, climate and person-environment fit have been widely studied in the general population, little research exists in this area regarding consumers of mental health services. This research focuses on organizational culture, climate and person-environment fit and their relationship to employment outcomes for mental health consumers. It also examines specific components of organizational culture which are both desired and perceived by mental health consumers. Thirty-six (N=36) consumers were recruited into one of two groups: individuals who were employed at the time of the study and those who had recently left their jobs. Instruments used were the Workplace Climate Questionnaire (WCQ) and the Organizational Culture Profile (OCP). Significant differences were found between groups along the dimensions of organizational culture/climate and person-environment fit. Although few differences were found between groups with regards to desired workplace characteristics, many differences in perceived characteristics were found. The findings point to the importance of assessing the organizational culture/climate and its congruence with individuals' value systems as part of the work integration process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.069
GPT teacher head0.350
Teacher spread0.282 · 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