A micro‐process model of institutional complexity in public hybrid organizations: Construal of identity threats and mitigation strategies
Bibliographic record
Abstract
Abstract This article analyses how non‐managerial professionals in public service organizations experience the tension between managerial and professional institutional logics and manage to minimize it through identity work. By studying how academics in ten Canadian public universities talk about their routine work activities, it is found that they interpret the institutional contradictions between these logics as threats to their identities and mitigate them by undertaking discursive strategies to author legitimate selves. Three mitigation strategies of delegitimization, selective identification and appropriation of realized publicness are identified. These findings are synthesized in a process model of construal and response that illustrates a set of micro‐practices of professionals by which the institutional hybridity is maintained. By moving beyond professionals' resistance and hybridization (integrating the two logics) and identifying a recursive relational positioning mechanism as a way of coping with institutional complexity, this study complements previous findings in the growing literature on organizing professionalism.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".