A Systems Study on Interprofessional Collaboration in Healthcare
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
This study aims to translate and adapt the Assessment of Interprofessional Team Collaboration Scale II (AITCS-II) cross-culturally for effective and systemic use in Japan, to describe floor and ceiling values, and to examine in terms of such criteria as reliability and face and content validity. The AITCS-II was translated from English into Japanese to develop the Japanese version of the Assessment of Interprofessional Team Collaboration Scale II (hereinafter referred to AITCS-II-J). Then, cross-sectional and cross-professional data analyses were carried out to seek evidence of construct validity. Analysis demonstrated good content and face validity. With a Cronbach's alpha coefficient greater than 0.9 (r varied from 0.912 to 0.940), the AITCS-II-J exhibited excellent internal consistency. The AITCS-II-J showed evidence of acceptable validity and reliability; therefore, this measurement system will be useful for informing the enhancement of interprofessional team collaboration within the Japanese acute healthcare context.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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