Perceptions of traumatic brain injury network participants about network performance
Bibliographic record
Abstract
BACKGROUND: Networks have been implemented within trauma systems to overcome problems of fragmentation and lack of coordination. Such networks regroup many types of organizations that could have different perceptions of network performance. No study has explored the perceptions of traumatic brain injury (TBI) network participants regarding network performance. OBJECTIVE: To document the perceptions of TBI network participants concerning the importance of different dimensions of performance and to explore whether these perceptions vary according to organization types. METHODOLOGY: Participants of network organizations were surveyed using a questionnaire based on a conceptual framework of performance (the EGIPSS framework). RESULTS: Network organizations reported dimensions related to goal attainment to be more important than dimensions related to process. Differences existed between the perceptions of various types of network organizations for some but not all domains and dimensions of performance. CONCLUSION: Network performance appears different from the performance of an individual organization and the consideration of the various organizations' perceptions in clarifying this concept should improve its comprehensiveness and its acceptability by all stakeholders.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".