The handing-down of traditional folk songs and the creation of local culture
Bibliographic record
Abstract
[表紙・標題紙・目次] はじめに / 梁川英俊 奄美民謡の継承と地域の創造 : 南海日日新聞の記事を中心に / 梁川英俊 ニューファンドランドの歌謡文化 / フィリップ・ヘイワード ; 森野聡子 [訳] = Newfoundland Song Cultures / Philip Hayward いつでも歌が / ジム・ペイン ; 森野聡子 [訳] = Never a Time Without Song / Jim Payne マドックの航海 : 「伝統」へのまなざしの交錯 / 森野聡子 ジャンベの持つ「伝統」のパワーと地域再生の可能性 / 西村知 三島村とジャンベ / 徳田健一郎 パンソリ伝承の地域的基盤と意味 / 金惠貞 ; 李徳雨 [訳] = 판소리 傳承의 地域的 基盤과 意味 / 김혜정 木浦地域の民俗音楽の基盤と公演芸術 / 李允先 ; 金秀炯, 梁川英俊 [訳] / 목포지역 민속음악 기반과 공연예술 / 이윤선 ブルターニュの伝統歌謡と地域の創造 / 梁川英俊 カン・ア・ディスカンとブルターニュ民謡の継承 / エリック・メヌトー ; 梁川英俊 [訳] = Le kan ha diskan et la transmission des chants populaires bretons / Eric Menneteau [執筆者紹介・奥付]
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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 | 0.001 |
| Science and technology studies | 0.011 | 0.028 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".