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Record W7146840049

「米国の対外政策に影響を与える国内的諸要因」(平成28年度 米国研究会)

2017· report· ja· W7146840049 on OpenAlexfundno aff
久保文明, 舟津奈緒子, 中山俊宏, 前嶋和弘, 安井明彦, 高畑昭男, 泉川泰博, 聡 森, 梅川健, 渡辺将人, 飯田健, 宮田智之, 松本明日香, 西住祐亮, 山岸敬和, 西山隆行, 藤本龍児

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2017
Typereport
Languageja
Field
Topic
Canadian institutionsnot available
FundersClinton FoundationQueen's UniversityMcGill UniversityConsortium canadien en neurodégénérescence associée au vieillissementU.S. Department of Commerce
Keywordsnot available
DOInot available

Abstract

fetched live from OpenAlex

と行政命令の両方を使用していることを検討し、オバマ大統領は大統領覚書によって本来 は認められていない権限を主張したという点で従来の三権分立の枠組みに挑戦したと言 え、トランプ大統領の行政命令には根拠法を挙げつつもその根拠が論争的な点に特徴があ ると指摘している。 第 8 章 アメリカの通商政策における政治過程-TPP をめぐる内政要因を中心に-

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)0.008
metaresearch head score (Gemma)0.020
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 score0.083
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0030.002
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0830.077

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 head0.060
GPT teacher head0.334
Teacher spread0.275 · 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".

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Citations0
Published2017
Admission routes1
Has abstractno

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