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Record W7020326234

La diplomacia cultural de Canadá: la construcción de una imagen

2008· article· es· W7020326234 on OpenAlexaboutno aff

Bibliographic record

VenueRibei Digital Library (University of Southampton) · 2008
Typearticle
Languagees
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDiplomacyMinistry of Foreign AffairsCultural identityForeign policyContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Este ARI trata sobre algunas de las acciones desarrolladas por Canadá para promover su cultura al exterior. Canadá es uno de los países en donde el multiculturalismo, el pluralismo, el bilingüismo y la diversidad cultural son característicos; por ello, no se puede hablar de valores y de una cultura canadiense unitaria. La dinámica del federalismo canadiense y la especificidad cultural de Quebec son algunos de los elementos que definen la singularidad de la diplomacia cultural de Canadá. La cultura y la educación son ámbitos de competencia provincial y por tal motivo no existe un Ministerio de Educación o de Cultura a nivel federal, si bien existe el Ministerio de Patrimonio Canadiense (Department of Canadian Heritage) que se ocupa de temas de cultura y patrimonio. Por su parte, el Ministerio de Asuntos Extranjeros y Comercio Internacional (DFAIT por sus siglas en inglés), es el actor principal encargado de los programas culturales internacionales y de la promoción de la comunidad artística y cultural en el exterior.

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)0.002
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: none
Teacher disagreement score0.066
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.014
Scholarly communication0.0120.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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
Published2008
Admission routes1
Has abstractyes

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