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Record W4281614041 · doi:10.1111/ilrs.12245

Actividades esenciales, trabajo a distancia y vigilancia digital. Estrategias para hacer frente al panóptico de la pandemia de COVID‐19

2022· article· es· W4281614041 on OpenAlexaff
Antonio Aloisi, Valerio De Stefano

Bibliographic record

VenueRevista Internacional del Trabajo · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsYork University
Fundersnot available
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)Political sciencePhilosophyMedicine

Abstract

fetched live from OpenAlex

Resumen La expansión de la vigilancia digital a raíz de la COVID‐19 ha reconfigurado las relaciones de poder en los entornos profesionales. Aquí se analiza críticamente la interacción entre esa vigilancia intrusiva y la ampliación de las prerrogativas empresariales en el lugar de trabajo físico y digital. Con la supervisión excesiva como denominador común de las actividades «esenciales» y «distanciables», se estudian los inconvenientes para ambas categorías de trabajadores durante la pandemia (y después). Se evalúa la idoneidad del marco jurídico de la Unión Europea para abordar la gestión basada en datos. El diálogo social, el empoderamiento de los trabajadores y la alfabetización digital se consideran formas eficaces de promover la flexibilidad, el bienestar y la competitividad.

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), Scholarly communication, 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 score0.932
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 communication0.0030.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.324
Teacher spread0.299 · 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 teacher head, not a consensus.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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