Reconstruction work awaits: work identity in the aftermath of health-related career shock
Bibliographic record
Abstract
Purpose This paper aims to explore the stages and processes of work identity reconstruction following a major health-related career shock. Design/methodology/approach In-depth case study and interpretive phenomenological methods are used to allow for deep reflective self-analysis of post-career shock stages. The paper explores the identity processes and stages a Chief of Human Resources of a multinational firm experienced after being deprived from his main working abilities as a result of a brain stroke. Findings Post-shock work identity stages and processes are identified, as long as the importance of identity threat, liminality, identity internalization and relational recognition in the reconstruction process. The findings propose new coping responses that may allow individuals to escape a diminished work identity: identity shedding and identity implanting. Originality/value While career shocks play a significant role in career development, there is currently little understanding of how career shocks may affect individuals' work identity or sense of self, particularly over time. The paper provides a nuanced understanding of this phenomenon, through process data collected at several points in time over a period of 14 years.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".