The Role of the Size of the Small Group and Informal Subgroups in Intragroup Conflicts
Bibliographic record
Abstract
This study examines the relationship between (a) the size of groups and the number of informal subgroups in them with conflicts in the context of the group, and (b) the size of the informal subgroups with conflicts in the context of the subgroup. A multidimensional model of intragroup conflict was used, which includes two dimensions: five levels of conflict (i.e., interpersonal (individual-individual), micro-group (individual-subgroup), group (individual-group), subgroup-subgroup, and subgroup-group) and two types of conflict (activity-oriented and subject-oriented). Each level of conflict contains two types. Forty-one small work groups (334 employees) took part in the study. In the group as a whole, both the size of the group and the number of informal subgroups in it have a positive relationship with subgroup-subgroup conflict in both types and subgroup-group subject-oriented conflict, and have a negative connection with micro-group subject-oriented conflict. In turn, the size of the subgroup is positively associated with the two types of subgroup-group conflict and negatively connected with the two types of micro-group conflict, as well as with interpersonal activity-oriented conflict at the level of the informal subgroup.
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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 | 0.006 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".