The Relational Ethics of Cultural Safety, Rights, and Desire: Reflections on Doing Community-Engaged Research with Migrant Families in Indonesia
Bibliographic record
Abstract
A study of birth registration decision making by Indonesian parents involved in transnational migration is discussed with reference to the authors’ long-standing use of an approach centred on the relational ethics of cultural safety, rights, and desire in community-engaged research. Ethical dilemmas encountered in obtaining informed consent and conducting the research, resulting from social hierarchies, social protocols, and socio-emotional considerations, illustrated limited, often mismatched perspectives on consent, privacy, and protection on the parts of research gatekeepers in minority and majority contexts. The article discusses “in-the-moment” adaptations to planned data collection procedures. These adaptations were guided by relational ethics aimed at ensuring, not only meaningful data, but consent, authenticity, socioemotional and cultural safety, a legacy of good relations with village leaders, and beneficial outcomes for community members.
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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 | 0.043 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.036 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.004 | 0.010 |
| 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".