Elaboración de un índice compuesto de calidad del empleo de las personas LGBTQ+ en Quebec (Canadá)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".