Using Consensus as a Criterion for Groupness
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
The purpose of the study was to examine how the exclusion of teams failing to meet varying statistical criteria for consensus on cohesiveness influences the magnitude of the cohesion– team success relationship. The index of agreement was calculated for 78 teams (N = 1,000 athletes) that had completed the Group Environment Questionnaire. Results showed that excluding teams because they fail to satisfy various criteria for consensus leads to changes in the magnitude of the cohesion–team success relationship. The magnitude of the relationship between team success and the individual attractions to group-task manifestation of cohesion showed progressive decreases as criteria required to demonstrate consensus became more stringent. Conversely, the magnitude of the relationship between team success and the group integration–task and group integration–social manifestations of cohesion showed progressive increases as criteria required to demonstrate consensus became more stringent. The results are discussed in terms of their relationship to group dynamics theory and practice.
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 | 0.002 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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