Identifying Age-Friendly Behaviours for Bus Driver Age-Awareness Training
Bibliographic record
Abstract
BACKGROUND: Occupational therapists may be involved in advocating for age-friendly bus systems and training bus drivers in age-awareness. In order to develop evidence-based bus driver age-awareness training programs, the specific required bus driver behaviours should be explicated. PURPOSE: This study aims to define, clarify, and illustrate behaviours associated with bus driver friendliness and helpfulness. METHODS: Forty older people (aged 60 and over) in Queensland, Australia, completed a round trip bus journey and subsequent interview. Qualitative content analysis of participant observations with stimulated recall interviews was used to identify categories and themes around friendly and helpful bus drivers. FINDINGS: General professional behaviours included making older people feel safe, courtesy, friendliness, helpfulness and being aware of invisible disabilities and specific professional behaviours included giving time, pulling in close to the curb, communication, and information. IMPLICATIONS: The findings are incorporated into suggestions for a bus driver age-awareness training program.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".