Embarking on a cultural journey: a qualitative study of new graduate physiotherapists’ experiences of working in First Nations Australian health settings
Bibliographic record
Abstract
INTRODUCTION: Internationally, there is growing momentum in the physiotherapy profession to improve the cultural safety and capabilities of physiotherapists. In Australia, this is essential given the important role physiotherapists play in the delivery of healthcare to First Nations Australians. Understanding the experiences of the newest members of the profession who work with First Nations Australians is an important step in exploring the broader professions' cultural safety journey. OBJECTIVE: To explore new graduate physiotherapists' experiences working in First Nations Australian health settings. METHODS: The study used an interpretative phenomenological approach through semi-structured interviews to explore the experiences of seven new graduate physiotherapists, in their first 2 years of practice. All participants worked within a First Nations Australian health setting for some or all of their experience as a new graduate physiotherapist. RESULTS: Three themes were generated: 1) enrichment through connection; 2) navigating challenges; and 3) a catalyst for self-reflection. CONCLUSION: New graduate physiotherapists reported positive experiences when working within a First Nations Australian health setting, underpinned by building a strong therapeutic relationship through rapport building; navigating challenges alongside their clients; and delving into critical self-reflection.
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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| 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".