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Record W4234102635 · doi:10.17118/11143/16776

Circula : revue d'idéologies linguistiques. Numéro 10 (automne 2019), Numéro libre

2019· paratext· fr· W4234102635 on OpenAlexvenueno aff

Bibliographic record

VenueCircula · 2019
Typeparatext
Languagefr
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Resumen: La Transición supuso poner fin al monolingüismo instaurado por el franquismo y abrir una etapa de reconocimiento a la diversidad lingüística.A pesar de ser un período de gran transcendencia, son más bien escasos los estudios dedicados al tema.En este artículo me he limitado a estudiar las ideologías lingüísticas de los lectores del periódico El País durante la Transición, expresadas a través de su sección de cartas al director.Las opiniones de los lectores no presentan un tono uniforme, sino que abarcan todo tipo de planteamientos, a menudo antagónicos, desde aspectos generales y teóricos (lengua nacional, dialectos, oficialidad…), hasta temas más concretos, tales como la enseñanza o los derechos lingüísticos, más habituales durante los primeros años de democracia.En términos generales, en las cartas al director publicadas en El País dominan las opiniones de los lectores que expresan sus objeciones hacia la diversidad lingüística.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.771
Threshold uncertainty score0.766

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.010
Science and technology studies0.0020.003
Scholarly communication0.0140.009
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2290.114

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 head0.038
GPT teacher head0.313
Teacher spread0.275 · 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.

Study designNot applicable
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

Citations0
Published2019
Admission routes1
Has abstractyes

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