Location, location, location: Contextualizing workplace commitment
Bibliographic record
Abstract
Summary The purpose of the present commentary is to discuss the nature and correlates of workplace commitment across cultures. We asked six organizational behavior scholars, who are intimately familiar with Brazil, China, Denmark, Germany, or Israel as their country of origin or extended residence, to “contextualize” workplace commitment. They did so by explicating institutional and cultural characteristics of their context on the emergence, meaning, and evolution of commitment by reference to their own research and extant local research. Their responses not only supported the utility of three‐component model of commitment but also revealed the differential salience of various commitment constructs (e.g., components and foci of commitment) as well as possible contextual moderators on the development and outcomes of commitment. The commentators also described changes including the growing prevalence of multicultural workforces within national borders and changes in employment relationships and cultural values in their national contexts and considered future research directions in culture and commitment research. Copyright © 2016 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".