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Record W4319981173 · doi:10.55617/revmites.33

Digitalización, información, democratización

2022· article· es· W4319981173 on OpenAlex
Stefano Bini

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista del Ministerio de Trabajo y Economía Social · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicTechnology in Education and Healthcare
Canadian institutionsImpact
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

Resumen:El estudio propone un razonamiento que pretende explorar la cuestin de la relacin entre digitalizacin del trabajo y participacin de las personas trabajadoras, con especial referencia al perfil especfico de la transparencia sobre los mecanismos de funcionamiento de los algoritmos y de los sistemas de inteligencia artificial aplicados a la organizacin del trabajo.En este sentido, se ha querido centrar la atencin en una institucin jurdica que parece emblemtica y paradigmtica, de cara a la promocin de una mayor participacin de las personas que trabajan en la empresa: los derechos de informacin y consulta, sobre "contenidos digitales".La tesis que se argumenta en el estudio podra, de hecho, sintetizarse en la visin de un "levantamiento del velo digital en el trabajo": la informacin de la representacin de las personas trabajadoras, sobre el ncleo ms oscuro de la digitalizacin (es decir los algoritmos), constituye la va maestra para la consecucin de un renovado planteamiento de la democracia en el trabajo; una renovacin que supone necesariamente una correccin y un reequilibrio de la acentuada asimetra informativa, propia de la relacin laboral digital.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.350
Teacher spread0.320 · 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