Coordination and adaptation in impromptu teams
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 present work was aimed at analyzing the psychometric properties of a Spanish version of the 48-item Young Adult Alcohol Consequences Questionnaire (YAACQ) by applying the item response theory. Participants were 247 college students (75.7% female) who reported drinking alcohol within the last 3 months. The 48-item YAACQ was translated into Spanish and back to English. The psychometric properties of the Spanish YAACQ (S-YAACQ) were analyzed applying the Rasch model, as well as group difference and correlational analyses. Factor structure of the S-YAACQ was analyzed using confirmatory factor analysis. The verification of the global fit of the data showed adequate indexes for persons and items. The reliability estimates for the items and the persons were both high. Scores on the S-YAACQ were strongly correlated with scores on the Spanish versions of the AUDIT and the RAPI and with frequency of binge drinking. Five of 48 items showed different item functioning (DIF) as a function of gender. These biases were in opposite directions, resulting in DIF cancellation. The item severity continuum was largely similar to that found with the Spanish brief YAACQ and to that found in U.S. and Dutch samples. Overall, results from the present study suggest that this translated full version is better suited than the brief YAACQ for the identification of youth who are experiencing problems with alcohol. Findings suggest that the Spanish version of the full YAACQ may be used to identify a broad diversity of alcohol-related problems in Spanish-speaking college students. (PsycINFO Database Record
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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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