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Record W4381849976 · doi:10.1111/ilrs.12282

Elaboración de un índice compuesto de calidad del empleo de las personas LGBTQ+ en Quebec (Canadá)

2023· article· es· W4381849976 on OpenAlexaffabout
Michele BAIOCCO, Martin Blais, Mariia Samoilenko, Line Chamberland, Isabel Côté

Bibliographic record

VenueRevista Internacional del Trabajo · 2023
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Resumen El heterosexismo y el cisgenerismo pueden dar lugar a experiencias de exclusión social en el trabajo, que perturban el bienestar de las personas LGBTQ+. Para medir esta realidad, los autores elaboran un índice específico de calidad del empleo, basado en datos de una muestra de 1761 trabajadores de Quebec, seleccionados en el marco de la encuesta UNIE‐LGBTQ (2019‐2020). Este índice, creado a partir de puntuaciones factoriales, comprende 16 indicadores y 5 dimensiones. Tiene una coherencia interna aceptable y se asocia moderadamente con la satisfacción laboral de las personas LGBTQ+. El índice revela las diferencias esperadas entre los grupos, lo que confirma su validez de constructo.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.275
Teacher spread0.245 · 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 designObservational
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
Published2023
Admission routes2
Has abstractyes

Explore more

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