Supportive Organizational Context for Teams: A Study of Construct Validity
Bibliographic record
Abstract
Despite a call within scientific literature to better account for contextual factors in team studies, very little research has systematically analyzed the potentially critical role of such factors, thus limiting organizations’ ability to provide contextual conditions that would foster team effectiveness. The Supportive Organizational Context for Teams (SOCT) construct effectively captures some of these factors (rewards, information, education, and resource allocation). However, while the internal consistency of the SOCT has been analyzed, its multidimensional representation has never been tested. In this study, we address these limitations by assessing the factor structure of a measure proposed by Wageman et al. (2005) and of its distinctive nature in relation to Perceived Organizational Support. Using a sample of 235 participants and the newly developed bifactor-ESEM framework, this study supports the notion that a high-order model is superior to a first-order model, and SOCT and Perceived Organizational Support are distinct from one another.
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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 | 0.042 | 0.093 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".