Artisanship, Innovation and Indigenous Modernity in the Eastern Highlands of Papua New Guinea: Ataizo Mutahe's Vessel Flutes
Bibliographic record
Abstract
Cet article presente une etude des flutes en terre fabriquees par Ataizo Mutahe pour le marche touristique a Goroka, dans les Hautes-Terres orientales de Papouasie-Nouvelle- Guinee. Le travail d’Ataizo est important parce qu’il bouscule les idees recues sur la nature de la tradition et de la modernite autochtones par rapport a la production et l’utilisation des instruments musicaux en Papouasie-Nouvelle-Guinee. Bien que ces flutes soient faites a la main, avec des materiaux et des technologies locales, sur la base de modeles d’instruments anciens de la region, elles representent une invention recente et sont entierement fabriquees pour une utilisation non-locale. Cet article soutient que les flutes d’Ataizo representent un modele important a travers lequel les iterations distinctement locales de la modernite peuvent etre apprehendees et les formes et pratiques artistiques locales (ainsi que celles qui ont ete introduites) peuvent etre percues comme des sources de modernite musicale en Papouasie- Nouvelle-Guinee. Ce faisant, cet article revient sur le travail de Marshall Sahlins sur la modernite autochtone dans le Pacifique, affirmant que sa theorie est trop engagee dans une division structuraliste entre les cultures de l'Occident et du Pacifique pour voir comment le habitants de Papouasie-Nouvelle-Guinee utilisent les resources afin d'articuler une modernite quotidiene comme celle d'Ataizo.
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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 | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".