The Dakota Little People and the Tree-Dweller Dreamers: A matter of respect
Bibliographic record
Abstract
While earlier authors tend to stress the malevolent aspects of the Little People, classifying them among the “Divinities of Evil,” a classification system which polarizes “good” and “evil” does not validly reflect the worldview of the Dakota. In this article, oral sources are informally utilized as the written sources, including previously unpublished narratives, are identified and examined in the context of the Dakota worldview. The Dakota phrase mitakuye owasį (“all my relatives”) is used to encapsulate the Dakota worldview and provide the interpretative framework. Alors que plusieurs auteurs accentuent les dimensions maléfiques du Petit Peuple, le classant parmi les « divinités du mal », il appert qu’un système classificatoire basé sur la polarité « bien » et « mal » ne rend pas compte de manière exacte de la vision du monde des Dakota. Dans cet article, des sources orales sont utilisées informellement tandis que des sources écrites, qui incluent des récits inédits, sont identifiées et examinée à partir de la vision du monde des Dakota. L’expression mitakuye owasį (« tous mes parents ») est ici utilisée à deux fins : rendre compte de la vision du monde des Dakota et fournir un cadre d’interprétation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".