A Yupiaq world view : implications for cultural, educational, and technological adaptation in a contemporary world
Bibliographic record
Abstract
This case study examines some of the cultural and educational implications of the intersection of a Western world view and a Yupiaq world view in a remote Yupiaq Eskimo village on the Kuskokwim River in southwestern Alaska. The study examines how the contemporary Yupiaq people have adapted their belief system, educational practices and subsistence lifestyle to accommodate a mix of Western and indigenous cultural traditions and technologies. It involves the documentation of Yupiaq practices in a traditional fish camp and science education in a school setting. The most important vehicle for data gathering was the role of participant-observer, because it was congruent with the way Yupiaq people learn. In addition to patient observation, emphasis was placed on document analysis, informal conversations, and interviews as the primary sources of data from the fieldwork. The study addresses the aspirations of Yupiaq people for self-determination and self-reliance by providing a pedagogical framework which attempts to meld Western and Yupiaq knowledge generation and use, based on the data gathered in the field. Special attention is given to the generation and application of scientific knowledge in a manner suited to the maintenance of Yupiaq cultural traditions and world view in a contemporary world.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".