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Record W3169856891 · doi:10.17118/11143/18446

Jóvenes de Telebachillerato y alfabetismos digitales. Entre el acceso y la desigualdad

2020· article· es· W3169856891 on OpenAlexvenueno aff
María Guadalupe Velasco Giles, José Federico Benítez Jaramillo

Bibliographic record

VenueCircula · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicYouth Culture and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Resumen: En el artículo, develamos prácticas de escritura realizadas por un grupo de jóvenes que asisten a un Telebachillerato Comunitario utilizando los dispositivos tecnológicos para comunicarse, relacionarse e interactuar a través de mensajes en los que alternan una variedad de lenguajes, símbolos, imágenes con textos.La perspectiva de alfabetismos digitales nos convoca a redefinir la cultura escrita, ya no solamente como la adquisición de la técnica del sistema de escritura, sino como actos que cuestionan las prácticas impuestas en la escuela.Las alfabetizaciones hoy implican prácticas y sentidos distintos a los que se evocan en la visión nostálgica de la escuela tradicional.La Investigación Tallerista fue una apuesta de trabajo horizontal, dialógico y colaborativo con agentes educativos.La narrativa oral y escrita, un recurso metodológico para escuchar las lecturas del mundo escolar.La categoría de interacción permitió articular aspectos como la comunicación, la relación intersubjetiva y los símbolos de carácter social.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.301
Teacher spread0.281 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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