Asdiwal revisité : Boas et Lévi-Strauss face à un “petit” mythe du Kamtchatka
Bibliographic record
Abstract
“La Geste d'Asdiwal” de Levi-Strauss est parfois considere comme l'illustration la plus significative de la methode structuraliste : en s'interessant aux variations mythologiques des populations de la cote du Nord-ouest canadien, Levi-Strauss demontre, a la suite de Boas, qu'elles s'eclairent a la lumiere des differences d'organisation sociale ; en soutenant que le mythe se prete a l'etude de la pensee, il suggere que la pensee mythique agit sur des objets de sa propre creation. Cet article examine un mythe qui semble etre l'inversion condensee des elements fondateurs de la version tsimshiane d'Asdiwal. Collecte par Waldemar Jochelson en 1910 au Kamtchatka (Extreme-Orient russe), ce “petit” mythe pose la question des contacts historiques entre les peuples vivant de part et d'autre du Pacifique Nord. Bien qu'aucune relation historique n'a ete etablie a ce jour, les nombreux paralleles et inversions existant entre la version tsimshiane d'Asdiwal et le mythe itelmene suggerent une relation entre les recits. Au-dela de la validite des theories levi-straussiennes, ce mythe questionne donc les implications de notre comprehension de l'histoire et de la conscience collective. Si les recits tsimshians et kamtchatkiens sont lies historiquement et que la consistance du processus d'inversion confirme les principes structuralistes, ces derniers resident-ils dans la structure elementaire du langage, dans les conditions fondamentales des societes et de l'environnement ou bien dans la pensee ? La question, bien sur, reste ouverte.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".