Understanding the individual turnover decision as a temporal process : an interpretive study of physicians
Bibliographic record
Abstract
Though turnover researchers have called for a deeper understanding of the temporal and contextualized process of individual voluntary turnover, little empirical progress in this direction has been made. Adopting Price's (1977) dynamic conceptualization of turnover as moving from one social system to another, and drawing upon knowledge across organizational, social psychological and psychological domains, this exploratory thesis uses in-depth topical life histories to examine individual experiences with stay/leave decision processes in their construed context. Findings challenge longstanding assumptions of linearity and continuity in turnover decision processes, as well as the conventional wisdom that utility-maximizing logic underlies these decisions. The data suggest that the pursuit of context-self congruence is a driving force in stay/leave decision processes, and that self-concept, emotions and psychological states may be under-studied influencers of these decisions. Results further uncover decision process characteristics previously rendered inaccessible to researchers, due to the predominant use of correlational studies in turnover research. These characteristics include: a) pivotal points of transition; b) the story lines that underlie influencing factors; c) the nature and role of context; and d) the consequences of engaging in these decision processes, for participants and for their workplaces, regardless of the outcome. This idiographic study, using a purposive sample from a single population of Quebec physicians, is intended to provide turnover researchers with a starting point for cross-group retrospective and longitudinal comparisons. It also aims to stimulate hypothesis generation that accounts for time and the contextual conditions under which particular factors are likely to affect the turnover decision. From a practical viewpoint, this thesis begins to answer the call from Canadian and Quebec Health Care Human Resource specialists for a deeper understanding of the psychosocial aspects of Canadian healthcare worker turnover and retention (British Columbia Office of the Auditor General, 2004; Dubois & Dussault, 2002).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".