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Record W4393326037 · doi:10.29303/ijpss.v5i2.139

Analisis Kebijakan Luar Negeri Negara-negara Anggota USMCA Studi Kasus Perubahan NAFTA ke USMCA

2023· article· id· W4393326037 on OpenAlexaboutno aff
Indana Salsabila

Bibliographic record

VenueIndonesian Journal of Peace and Security Studies (IJPSS) · 2023
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Studi ini menganalisis kebijakan luar negeri negara-negara anggota USMCA (United States-Mexico-Canada Agreement) dengan fokus pada perubahan dari NAFTA (North American Free Trade Agreement) ke USMCA. USMCA adalah sebuah perjanjian perdagangan multilateral yang menggantikan NAFTA dan melibatkan Amerika Serikat, Meksiko, dan Kanada. Analisis ini bertujuan untuk memahami perubahan kebijakan luar negeri yang terkait dengan perjanjian ini dan bagaimana perubahan tersebut mempengaruhi hubungan antarnegara dan perdagangan di kawasan Amerika Utara. Studi ini mengidentifikasi perubahan utama dalam USMCA dibandingkan dengan NAFTA, termasuk dalam hal ketentuan perdagangan, hukum lingkungan, hak kekayaan intelektual, sektor pertanian, dan industri otomotif. Analisis ini juga mengkaji reaksi dan respon dari masing-masing negara anggota terhadap perubahan ini. Hasil analisis ini memberikan pemahaman yang lebih dalam tentang perubahan kebijakan luar negeri negara-negara anggota USMCA dan dampaknya pada perdagangan dan hubungan antarnegara di Amerika Utara.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.050
GPT teacher head0.273
Teacher spread0.224 · 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
GenreEmpirical

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
Published2023
Admission routes1
Has abstractyes

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