Reimagining the Self at Late-Career Transitions
Bibliographic record
Abstract
PURPOSE: There is scant empirical work exploring academic physicians' psychosocial adjustment during late-career transitions or on the factors that influence their retirement decisions. The authors examine these issues through the lens of sociopsychological identity theory, specifically examining how identity threat influences academic physicians' decisions about retirement. METHOD: Participants were academic physicians at a Canadian medical school and were recruited via e-mail requests for clinical faculty interested in discussing late-career and retirement planning issues. Participants included 15 males and 6 females (N = 21; mean age = 63, standard deviation = 7.54), representing eight specialties (clinical and surgical). Data were collected in October and November 2012 via facilitated focus groups, which were digitally recorded, transcribed verbatim, and anonymized, then analyzed using thematic analysis. RESULTS: Four primary themes were identified: centrality of occupational identity, experiences of identity threat, experiences of aging in an indifferent system, and coping with late-career transitions. Identity threats were manifested in apprehensions about self-esteem after retirement, practice continuity, and clinical competence, as well as in a loss of meaning and belonging. These identity challenges influenced decisions on whether to retire. Organizational and system support was perceived as wanting. Coping strategies included reimagining and revaluing various aspects of the self through assimilating new activities and reprioritizing others. CONCLUSIONS: Identity-related struggles are a significant feature of academic physicians' considerations about late-career transitions. Understanding these challenges, their antecedents, and their consequences can prepare faculty, and their institutions, to better manage late-career transitions. Individual- and institution-level implications are discussed.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".