Männer neigen zur Sabotage - Laborexperiment zeigt die Negativseiten des Wettbewerbs in der Arbeitswelt - Campusreport am 22.10.2019
Bibliographic record
Abstract
Konkurrenz belebt das Geschäft, sagt man. Wettbewerb gilt in unserer Gesellschaft als optimales Mittel zur Leistungssteigerung. Was aber wenn Mitarbeiter versuchen, den Wettbewerb durch unlautere Mittel zu gewinnen, wenn sie ihre Kollegen behindern oder ihnen regelrecht ein Bein stellen? In den Arbeitswissenschaften nennt man das „Sabotage“. Ein am Karlsruher Institut für Technologie und an der Universität Bonn durchgeführtes Laborexperiment zeigt, dass Männer deutlich mehr zum Sabotieren neigen als Frauen. Der Grund: sie gehen wie selbstverständlich davon aus, dass es die Konkurrenten auch tun.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.145 | 0.034 |
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".