Reviewing Health Service and Program Evaluations in Indigenous Contexts: A Systematic Review
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
This study systematically reviewed evidence regarding health program and service evaluations in Indigenous contexts. Following the PRISMA guidelines and combining terms for ‘Indigenous populations’ and ‘health programs and services’. Eight principles emerged: Principle 1: Adopting Indigenous led or co-led approaches is vital to balance power relationships by prioritizing self-determination, Principle 2: Evaluation team should include local Indigenous community members, Principle 3: Indigenous community knowledge and practice should be foundational, Principle 4: Evaluations must be responsive and flexible to meet the needs of the local community, Principle 5: Evaluations should respect and adhere to local Indigenous protocols, culture, wisdom and language, Principle 6: Evaluations should emphasize reciprocity, shared learnings and capacity building, Principle 7: It is important to build strong relationships and trust between and within researcher teams, evaluators and communities, and Principle 8: The evaluation team must acknowledge community capacity and resources by investing in time and relationships.
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.
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 | 0.033 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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