Compelling Identity: Selves and Insecurity in Global, Corporate Management Development
Bibliographic record
Abstract
Adopting a post-structuralist analytical framework, this article fuses two seminal notions, Alvesson and Willmott's identity regulation in organizations and Collinson's emphasis on insecurity within processes of identity construction, to unravel subjectivities and the production of identity in two global, corporate management development programs. Drawing on interviews and observation in the settings, the article contrasts discursive practices in the two programs. It then examines the micro-processes of program participants' identity work in each context, using as a heuristic tool Collinson's theory of conforming, dramaturgical and resisting selves. Contributing to critical studies in management education, this framing draws attention to the dynamics of power in shaping identities within management development. The study suggests new notions of how identity regulation and insecurity interact, relating to two `ideal types' or models of management development emerging in the fieldwork.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.038 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 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".