Bibliographic record
Abstract
Sudden transitions in task demands often accompany crisis situations, and much of the existing literature in this area focuses on the effects of rapid workload changes on team member communication, stress, vigilance, and perception. Other work at the team level focuses intently on the effects of single processes in team adaptation. The missing link is the team-level transitions across types of processes. We focus specifically on action teams required to abandon old task routines and quickly adapt to nonroutine situations. We examined three different key process transitions for such teams: the routine-to-incremental transition (e.g., slight deviations from SOPs to accommodate field anomalies), the routine-to-nonroutine transition (e.g., major transitions from SOPs to emergency or battle procedures), and the nonroutine-to-sensemaking transition (e.g., abandoning all learned procedures in order to make sense of a unique situation). The chapter closes with a summary of implications of these process type transitions and recommendations for new training for team leadership in action scenarios.
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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 | 0.001 | 0.001 |
| 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 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".