Bibliographic record
Abstract
This dissertation explains the relationship between participation in governance and well-being in the Yukon Flats. To garner a deeper understanding of this relationship, definitions of governance and well-being are sought from the participants, thus providing holistic, Indigenous definitions of these concepts. Both formal and informal governance are also explored to understand the important institutions that underpin these larger relationships. Lastly, this dissertation investigates the relationship between participation in traditional hunting, fishing, and gathering and well-being in the Yukon Flats. Qualitative methods, including semi-structured interviews, observations, and photographs are all used to document these relationships. Applied thematic analysis is used due to its efficacy when conducting team research and also because of its effectiveness in presenting stories and experiences of participants truthfully and inclusively. These methods are also culturally congruent with Alaska Native epistemologies. This research has relevancy for Alaska Native and American Indian communities, policymakers, and state and federal officials who are all charged with sustaining natural resources and simultaneously creating healthy communities where people are well in all aspects of their life.
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 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 | 0.003 | 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 | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".