Factors that Determine Work Precariousness - The comparison between the National and Foreign Direct Investment Industries:The case of Celaya Guanajuato México
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.
Bibliographic record
Abstract
In 2012, the reform of the Federal Labor Law was implemented in Mexico, arguing that it was necessary to make the legislation more flexible, in order to position Mexico as a viable country to attract Foreign Direct Investment (FDI). However, there has been little monitoring on the real effects of these changes. The objective of this research was to analyze the factors that determine the precarious working conditions in the city of Celaya Guanajuato Mexico with the use of a quantitative approach of a non-experimental cross-sectional design. The results identified that precarious working conditions are correlated with the gender, age, schooling, economic sector and origin of the investment. The implications for management are: The legal flexibility for attracting direct foreign investment according to this research, has been an appropriate strategy, since it pressures labor markets to improve their conditions to be competitive, because the industry with direct foreign investment is governed by the Law, on the other hand, the national industry reflects labor practices well below the legal minimums.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it