Theorizing About an AOM President’s Response to Crisis and the Counter Responses It Evoked
Bibliographic record
Abstract
Organizational crises have often stimulated scholarly theorizing that has been productive for our field. Rarely, however, are there opportunities to theorize regarding crises that happen in our own professional associations. A crisis experienced by Professor Anita McGahan when she was the President of the Academy of Management, described in an accompanying article, has presented such an opportunity. In this set of nine brief reflections, several scholars have considered how McGahan’s actions with regard to that crisis can be understood conceptually and how they may stimulate development of previously established conceptual perspectives. These reflections make evident that McGahan’s actions cannot be appreciated without recognition of the complex dilemmas to which she was responding. These dilemmas include issues of trustworthy leadership, gendered power, leader voice, sensemaking and learning, organizational identities, psychological contracts, institutional leadership, and “good bureaucracy.”
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".