The <scp>K</scp>nowledge, <scp>S</scp>kill, and <scp>A</scp>bility <scp>R</scp>equirements for <scp>T</scp>eamwork: <scp>R</scp>evisiting the <scp>T</scp>eamwork‐<scp>KSA T</scp>est's validity
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 T eamwork – K nowledge, S kills, and A bility ( KSA ) Test was developed by S tevens and C ampion to operationalize their comprehensive taxonomy of teamwork competencies. The test is generally considered ‘valid’ and has been used frequently in organizations. Our review of the literature found an average criterion validity of.20 for the T eamwork‐ KSA T est, although there was considerable variability across studies. We could find no research on the item properties, factor structure, or subscale reliabilities, and no extensive investigations of the nomological net of this test. In our field sample, we found subscale reliabilities to be generally inadequate, no meaningful factor structure, and low predictivenes of employees' performance on team‐related dimensions. Although the taxonomy it purports to measure is preeminent, the T eamwork‐ KSA T est itself may have serious limitations.
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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it