Libertad sindical en México. Aplicación de los convenios 87 y 98 de la OIT en relación con las obligaciones derivadas del T-MEC
Bibliographic record
Abstract
In 2017, a constitutional reform to articles 107 and 123 led to the creation of a new paradigm in labor procedural matters, which together with the renegotiation of the trade agreementbetween the United States, Canada and Mexico-known by the acronym T-MEC-implied that our country had to ratify Convention 98 of the International Labor Organization (ILO) regarding the right to organize and collective bargaining in order to adapt its internal regulations. Thus, on May 1, 2019, the reform to the Federal Labor Law (LFT) was published in the Official Gazette of the Federation (DOF), which entered into force the following day, which states, among other things, that unions have until 2023 to legitimize their collective bargaining agreements, adapt their internal bylaws to incorporate the gender perspective in their directives and together with the employer create a protocol that eradicates violence, harassment– both labor and sexual – within the workplaces, in addition to democratizing the election processes for union leadership, which will not only allow due compliance with the constitutional mandate, but also recognizes the importance of the international commitments made in favor of respect for the human rights of workers, gender equity, freedom of association and collective bargaining.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
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".