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Record W3159904323

Relaciones político-económicas entre México y Canadá

2007· article· es· W3159904323 on OpenAlexaboutno aff
Rodney Williamson, Irene Fonte

Bibliographic record

VenueVersión. Estudios de Comunicación y Política · 2007
Typearticle
Languagees
FieldSocial Sciences
TopicCultural and political discourse analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyPoliticsTRACE (psycholinguistics)NationalismNewspaperSociologyCritical discourse analysisHumanitiesPolitical scienceMedia studiesLawPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

Political-economic relations between Mexico and Canada. As part of our ongoing research on the image of the other in the national press of Mexico and Canada, in this paper we look at the configuration of political and economic ideologies as reflected in the press on the occasion of Mexican President-elect Vicente Fox’s official visit to Ottawa in August, 2000. To understand how the different ideologies present interact, we apply Antonio Gramsci’s concept of “ideological complex”, as developed in discursive terms by Hodge and Kress, as well as the Bakhtinian notion of “enunciative scene”, developed as an analytical concept by Fonte. Through specific textual readings, we trace a profile of the different positions taken by Mexican and Canadian newspapers in the three languages in question. We study the points of conflict and convergence between the various speakers involved (above all Fox and Chretien), and how certain key concepts like “poverty” are understood in very different ways in each country. Through analysis of press discourse we illustrate how a nationalist ideology confronts one of globalization, and we demonstrate the pertinence of detailed analysis of ideological expression pervading every level of language.

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)0.003
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 score0.088
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0180.006
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.020
GPT teacher head0.333
Teacher spread0.313 · 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
Published2007
Admission routes1
Has abstractyes

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