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Record W2009585964 · doi:10.1353/his.2011.0000

Defining a Community in Exile: Vietnam War Resister Communication and Identity in AMEX , 1968–1973

2011· article· fr· W2009585964 on OpenAlexvenueaboutno aff
Jay Young

Bibliographic record

VenueHistoire sociale · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicAmerican Political and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Political scienceVietnam WarArtLawAesthetics

Abstract

fetched live from OpenAlex

AMEX , la plus importante et la plus longuement publiée des revues canadiennes d’opposition à la guerre du Vietnam, était un outil de communication essentiel pour les opposants à la guerre. Il renfermait de l’information pratique et aidait tant ses producteurs que ses lecteurs à se forger un sentiment d’appartenance. Mais des scissions ont mis en péril l’aspiration de la revue de représenter les opposants à la guerre puisque l’expérience commune de quitter les États-Unis pour éviter la guerre du Vietnam ne suffisait pas d’office pour unifier toute la gauche. Durant les cinq premières années de sa publication, les pages d’ AMEX révèlent une fragile communauté engagée dans le difficile processus de débattre de son identité collective à travers la presse.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.007
Scholarly communication0.0060.004
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.036
GPT teacher head0.263
Teacher spread0.227 · 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 designQualitative
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

Citations2
Published2011
Admission routes2
Has abstractyes

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Same venueHistoire socialeSame topicAmerican Political and Social DynamicsFrench-language works237,207