Bibliographic record
Abstract
As paediatric patients transition from the hospital environment, there is a lack to programs and supports to assist in this transitional phase. The child life specialist plays a unique role within the interprofessional team of professionals in the hospital. They provide paediatric patients and their families with psychosocial services such as age and developmentally appropriate coping mechanisms. A mixed-method study was conducted through qualitative semi-structured interviews, and a survey to explore how child life managers and frontline child life specialists perceived their role expanding outside of the hospital. five themes emerged from questions asked in the interviews and surveys. These themes include: role perceptions, collaboration with health care professionals, collaboration with school professionals, challenges to collaboration and recommendations for the role expansion. From these five themes, thirteen sub-themes emerged spontaneously. The findings of this research study indicate that there is a consensus from both child life managers and specialists on the value of expanding their role beyond the hospital. although considered an essential service in some hospitals, further steps need to be taken to ensure child life specialists feel that their services are validated in the hospitals.
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.
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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| 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".