Diversity training for the community aged care workers: A conceptual framework for evaluation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Older Australians are an increasingly diverse population, with variable characteristics such as culture, sexual orientation, socioeconomic status, and physical capabilities potentially influencing their participation in healthcare. In response, community aged care workers may need to increase skills and uptake of knowledge into practice regarding diversity through appropriate training interventions. Diversity training (DT) programs have traditionally existed in the realm of business, with little research attention devoted to scientifically evaluating the outcomes of training directed at community aged care workers. A DT workshop has been developed for community aged care workers, and this paper focuses on the construction of a formative evaluative framework for the workshop. Key evaluation concepts and measures relating to DT have been identified in the literature and integrated into the framework, focusing on five categories: Training needs analysis; Reactions; Learning outcomes, Behavioural outcomes and Results The use of a mixed methods approach in the framework provides an additional strength, by evaluating long-term behavioural change and improvements in service delivery. As little is known about the effectiveness of DT programs for community aged care workers, the proposed framework will provide an empirical and consistent method of evaluation, to assess their impact on enhancing older people's experience of healthcare.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it