Workplace psychosocial factors are associated with veterinary employees’ organizational commitment to their current veterinary hospital
Bibliographic record
Abstract
OBJECTIVE: To classify a sample of veterinary professionals into distinct organizational-commitment profiles and to identify associations between psychosocial aspects of the workplace and organizational-commitment profile membership. SAMPLE: 487 veterinary employees who worked for a corporate veterinary organization in Canada. METHODS: Survey components measured for this study included the Three-Component Model (TCM) Employee Commitment Survey-Revised, the Copenhagen Psychosocial Questionnaire, and participant demographics. First, latent profile analysis was used to identify distinct organizational-commitment profiles based on 3 components of commitment (affective, continuance, and normative). Next, the Mann-Whitney U test was used to compare participants' intention to leave their hospital on the basis of organizational-commitment profile. Finally, logistic regression was performed to assess the association between perceived psychosocial workplace characteristics and organizational-commitment profile membership. RESULTS: 2 organizational-commitment profiles were identified: Affective/Normative (AC/NC) Dominant (n = 388) and Mid-Low Commitment (99). Participants in the Mid-Low Commitment Profile had a significantly higher intention-to-leave score (median, 3.0) than participants in the AC/NC Dominant Profile (median, 2.0; P < .001). Psychosocial factors found to predict membership in the AC/NC Dominant Profile included the following: influence at work (OR, 2.08; P < .001), meaning of work (OR, 1.38; P = .067), rewards/recognition (OR, 1.63; P = .007), and quality of leadership (OR, 1.85; P = .0003). Members of the AC/NC Dominant Profile also experienced greater work-life conflict (OR, 1.65; P = .003) compared to the Mid-Low Commitment Profile. CLINICAL RELEVANCE: Findings identified potential psychosocial aspects of the workplace that can be considered to support more desirable organizational-commitment profiles that are likely to lead to favorable outcomes for veterinary practices and their employees.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".