“It Makes My Heart Smile When I Hear Them Say, ‘Hi Grandpa, We’re Home!’”: Relationality, Alaska Native Wellbeing and Self Determination in Tribal Child Protection
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
Before colonization, Indigenous child protection looked like an interdependent community. Indigenous knowledges and relational actions kept all within its fold safe and well. Colonial dispossession of land, degradation of subsistence rights, boarding schools, ongoing child removal, capitalism, and systems of oppression attempted to disconnect Indigenous peoples from their language, lands, ceremonial practices, stories, dances, songs, family, community, and themselves. However, Indigenous communities have held on, persevered, and have begun to turn the tide of intergenerational trauma through the revival of Indigenous wellness and self-determination. We believe local-based Indigenous relational knowledges can end colonial harm and promote wellbeing for all families and children. Our work builds off an Indigenous Connectedness Framework that recognizes the importance of the interrelated wellbeing of a person, family, community, ancestors/future generations, and the Earth. This framework was adapted based on community feedback to better fit the Nome Eskimo Community (NEC) and Bering Strait regional context. This paper shares results of community focus groups that led to the creation of a NEC Piaġiq (wellness) Framework, and shares intentions for pilot implementation of a wellness curriculum and pilot intervention. We will offer insights and lessons learned. We believe self-determined Indigenous wellbeing efforts can lead to improved outcomes for our sacred children and families for generations to come.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 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