Who Gets Time Off? Prioritizing Planned, Family Responsibility Leave Requests
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This role play focuses on team decision making and is designed for undergraduate and graduate human resource management (HRM) and organizational behavior (OB) courses. It can also support management seminars. Working within Employee Teams, Department Teams, or Manager Teams, students decide which three of five employees will obtain family responsibility leave. For HRM courses, the exercise focuses on interpreting and applying family responsibility leave, which illustrates day-to-day personnel planning. For OB courses, the debriefing centers on comparing decision-making models and discussing how beliefs and attitudes influence decision making; it also supports exchanges about the influence of conflict, domination, and groupthink on team decision making. For both OB and HRM courses, the exercise helps students compare individual and team decisions, discuss the effects of team composition on decision making, and analyze the fairness of their decisions. Instructors can conduct the activity in class or online.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it