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Record W4406440356 · doi:10.59486/qhyk7186

Leer juntos · Leer, transmitir, transformar en contexto de la migración

2024· article· es· W4406440356 on OpenAlexaboutno aff
Marion Sauvaire

Bibliographic record

VenueTransMigrARTS · 2024
Typearticle
Languagees
FieldSocial Sciences
TopicMigration and Exile Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Lire Ensemble (Leer Juntos) fue un proyecto de innovación social cuyo objetivo fue apoyar a las familias migrantes en la adopción de prácticas de lectura de literatura infantil. Desarrollado entre 2017 y 2022 en la ciudad de Quebec, Canadá, Lire Ensemble congregó a diversos actores provenientes de la academia, del sector cultural y comunitario, con el fin de fortalecer los vínculos entre los libros y la vida cotidiana, crear puentes entre diferentes comunidades lingüísticas y culturales y resignificar el intercambio intergeneracional e intercultural. Nuestro propósito compartido fue proporcionar a las familias inmigrantes, en especial a los padres de niños de 4 a 12 años, herramientas que les permitieran leer álbumes literarios infantiles en el hogar. El enfoque del proyecto se centró en la realización de talleres en bibliotecas públicas y en un centro de francofonización para adultos, donde los padres alófonos pudieron descubrir la literatura infantil y, lo más importante, adoptar prácticas de lectura subjetivas, sensibles y creativas que ayudaran a reparar las rupturas en la transmisión intergeneracional e intercultural provocadas por la migración.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.381
Teacher spread0.361 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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