“Reframing the Way You Think and Work”: Indigenous Youth Workers Converse about Ethical Responsibility
Bibliographic record
Abstract
This commentary brings together young Indigenous professionals working with youth in communities across Quebec to reflect on the significance of providing culturally sensitive and decolonizing services as outlined in the revised Standards for practice of North American Child and Youth Care Professionals. We discuss ethical responsibility as involving relationality, active listening, and engaging with youth in a myriad of ways that are culturally relevant, while advocating for systemic change. This process involves Indigenous youth workers navigating unique ethical challenges, such as balancing cultural sensitivity with intervention practices, building trust within communities affected by historical trauma, and managing the distinctive demands of confidentiality. The drawing of a heart surrounded by ripples illustrates the many layers of intervention, relationships, and cultural care that are central to an Indigenous youth worker’s role. Advice for future youth workers who want to work ethically and in a “good way” with Indigenous youth involves being open, to demonstrating genuine commitment, and both being challenged by and challenging a system that has historically failed to support Indigenous young people and their ways of being.
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 | 0.020 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.048 | 0.053 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.010 | 0.020 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".