<i>Tóta Tánon Ohkwá:ri</i>: A Community-Driven Production and the Renormalization of the Kanien’kéha Language
Bibliographic record
Abstract
À travers une description détaillée du processus complexe de production et de création de l’émission de télévision jeunesse Tóta tánon Ohkwá:ri — émission de marionnettes en langue Kanien’kéha —, la réalisatrice Marion Konwanénhon Delaronde se penche sur les nombreux impacts socioculturels positifs qui naissent de cette initiative locale : renormalisation de l’usage de la langue, revitalisation de certains récits, pratiques et épistémologies traditionnelles, réflexions collectives quant aux défis actuels que doivent relever les jeunes de la communauté de Kahnawà:ke, dialogues et rapprochements intergénérationnels, guérison de certains traumas vécus dans les pensionnats autochtones, etc. Œuvrant à partir du Centre linguistique et culturel Kanien’kehá:ka Onkwawén:na Raotitióhkwa (KORLCC), l'auteure effectue une analyse approfondie de sa relation dialogique et constructive avec ses collègues et les publics de tous âges lors de différentes étapes de la réalisation de l’émission. Elle dresse ainsi le portrait des besoins et des forces de sa communauté, tout en situant ses propres prises de conscience personnelles quant à sa relation avec sa culture et son domaine.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".