A Qualitative Study of Workplace Factors Influencing Expertise in the Delivery of Children’s Education and Mental Health Services
Bibliographic record
Abstract
Background: Interest in professional expertise is growing. Interactional and developmental perspectives are being adopted to understand the nature of expertise and the environmental factors that influence its development. This article provides qualitative information about the workplace factors and experiences considered important by individuals providing education or mental health services to children, with one group working within an interprofessional team approach (service providers) and the other working in a discipline-specific manner (teachers).Methods and Findings: Two focus groups were held: one involving 5 elementary or secondary school teachers and principals, and one involving 9 therapists who provide specialized children’s mental health services. Information arising in these group sessions was used to develop themes reflecting key elements discussed; the themes were then contrasted to infer differences between the two groups. The findings point to the importance of establishing a collaborative, learning-oriented workplace culture, including opportunities for varied work experiences, peer interaction and dialogue, and feedback.Conclusions: Implications include adopting relationship-oriented and collaborative service delivery models and ensuring that workplace settings encourage natural learning opportunities involving interaction, dialogue, and feedback, as well as meaningful professional development experiences of value to participants.
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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 | 0.020 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".