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Record W2464817026 · doi:10.1525/msem.2015.31.1.22

In Mexico’s Defense

2015· article· es· W2464817026 on OpenAlexaff
Amelia M. Kiddle

Bibliographic record

VenueMexican Studies/Estudios Mexicanos · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicHistorical Studies in Latin America
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPolitical scienceDiplomacyHumanitiesLawEconomic historyHistoryArtPolitics

Abstract

fetched live from OpenAlex

This article examines Mexican diplomacy in the late nineteenth and early twentieth centuries and argues that a transnational code of honor rooted in the practice of dueling governed diplomats’ behavior. It demonstrates that, in spite of domestic reforms that exalted the incorporation of the masses and the empowerment of women in revolutionary Mexico, diplomats continued to participate in the diplomatic culture of dueling—both actual and journalistic—that feminized the nation and perpetuated patriarchy within the diplomatic corps. Este artículo examina la diplomacia mexicana a fines del siglo XIX y principios del siglo XX y en el que se argumenta que un código transnacional de honor enraizado en la práctica de duelo gobernó el comportamiento de los diplomáticos. Demuestra que, además de las reformas domésticas que exaltaron la incorporación de las masas y el empoderamiento de las mujeres en México revolucionario, los diplomáticos siguieron participando en la cultura diplomática del duelo—tanto real como periodístico—que feminizó la nación y perpetuó el patriarcado dentro del cuerpo diplomático.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.075
GPT teacher head0.380
Teacher spread0.305 · 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 designTheoretical or conceptual
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

Citations12
Published2015
Admission routes1
Has abstractyes

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