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Record W163325597 · doi:10.25115/odisea.v0i7.163

Conflicto lingüístico y separatismo en Canadá

2017· article· es· W163325597 on OpenAlexaboutno aff
Juan José Torres Núñez

Bibliographic record

VenueODISEA Revista de estudios ingleses · 2017
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndependence (probability theory)HumanitiesHistoryArt

Abstract

fetched live from OpenAlex

Este artículo analiza la historia del conflicto lingüístico entre el pueblo francófono y el pueblo anglófono dentro de la doble realidad cultural de Canadá y muestra el imperialismo inglés hacia el pueblo québécois a lo largo de su historia. Con respecto a la posible independencia de Quebec, el artículo habla a favor de un Canadá unido sin miedo de ofender a los québécois. Y se desprenden dos conclusiones: una emocional y otra racional. La emocional nos recuerda las palabras del profesor Russell: “Amo a Canadá”, “Canadá es un gran país”. En la racional se nos recuerda las trágicas consecuencias de la desintegración de imperios y naciones. Y se afirma que los québécois no van a vivir mejor si se separan del resto de Canadá. Lo que se necesita verdaderamente es un federalismo más interactivo y más económicamente independiente de los Estados Unidos.Abstract:This article examines the history of the linguistic conflict between Francophones and Anglophones within the double cultural reality of Canada and shows the English imperialism towards the Quebecois throughout their history. With regard to the possible independence of Quebec, the article discusses Canadian unity without fear of offending the Quebecois. Two conclusions stand out: one emotional and another rational. The emotional one reminds us of Professor Russell’s words: “I love Canada”, “Canada is a great place”. The rational conclusion reminds us of the tragic consequences of the disintegration of empires and nations. It is asserted that the Quebecois will not live better if they separate from the rest of Canada. What the country really needs is a federalism, more interactive and more economically independent from the United States

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: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0240.012
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 head0.029
GPT teacher head0.303
Teacher spread0.274 · 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
Published2017
Admission routes1
Has abstractyes

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