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Record W7145615477

懐かしの味に出会う

2017· other· ja· W7145615477 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2017
Typeother
Languageja
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTastePoint (geometry)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Pizza Around the World / James Amrein 気がつけば、さよならも言わずに / 西川真子 パリのベトナム麺 / 近藤野里 A Michigan Delicacy: The Pasty / Paul A. Crane 安倍川餅 / 松山洋平 Quebec’s Share of the Pie / Etienne Marceau スープ「シチュー」二題 / 諫早勇一 Le goût, l’odorat et la vue / NAKAMURA Marie-Paule 名古屋メシ、その後の戦略は? / 横山陽二 郷土に根づく五平餅 / 宮川公平 Ted Drewes Frozen Custard / Juanita Heigham お袋の味はアルメニア料理 / ライアン・モリソン Goûts d’aujourd’hui, souvenirs de demain. / Laurent Annequin

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.287
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0090.003
Scholarly communication0.0190.012
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2870.179

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.

Opus teacher head0.027
GPT teacher head0.294
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueInstitutional Repositories DataBase (IRDB)French-language works237,207