Pediatric caregiver involvement in the assessment of physicians
Bibliographic record
Abstract
Given the growth and benefits of consumerist and family-centred approaches to pediatric health care, there is a need to involve pediatric caregivers in the assessment of their children’s physicians. We present interconnected questions that are important to address in order to facilitate pediatric caregiver involvement in the assessment of their children’s physicians. Pediatric caregivers can be valuable assessors of physicians’ non-technical skills. It is important to conduct additional research on caregiver involvement in assessment activities and create a reflective discourse on this topic. To ensure that pediatric caregivers’ assessments of physicians are formally recognized and advantageous, it is important to understand: (a) what pediatric caregivers can assess; (b) what assessment tools exist for pediatric caregivers; (c) how to create appropriate assessment tools for pediatric caregivers; (d) how to collect pediatric caregivers’ assessments; (e) how to increase the legitimacy, use, and effectiveness of pediatric caregivers’ assessments; and (f) the consequences of pediatric caregiver assessment.
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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 | 0.142 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".