Migración y fecundidad: Un análisis cuali-cuanti de cubanas residentes en Canadá
Bibliographic record
Abstract
This dissertation deals with the reproductive behavior of migrant women. Such behavior undergoes adaptation processes in different ways compared to that of women in the place of origin or destination, depending on whether they are first or later generation of migrants. The main theories that address the relationship between fertility and migration (selectivity, adaptation, socialization, and disruption) are interrelated, even though there are no conclusive results, which motivates further study. In this way, we seek to discover how the reproductive behavior of migrant women evolves, using information from Cuban women residing in Canada whose migration was basically for three reasons: i) Regulated labor opportunity (economic pathway); ii) Family reunification, and iii) Refuge. The available sources that address this objective are the 2016 Canadian demographic census and primary data collection. We used consequently, quantitative analysis complemented with qualitative analysis of in-depth interviews made to 15 Cuban women residing in the city of Montreal, Quebec, Canada. In addition to the traditional theoretical approaches of the relationship between these two variables, this dissertation outlines some of the proximate determinants of fertility such as union patterns, contraceptive use, and abortion, as well as the context of reproductive health and family planning in the destination. Quantitative results show us that Cuban refugee women have a higher relative risk of having had children than women of economic status and family reunification, suggesting a strategy of legitimizing permanent residence in Canada. These results corroborate what was found in the above descriptive analysis for Cuban refugee women: a higher total fertility rate and a less harmonious shape of the curve, suggesting the presence of disruption. Through the in-depth interviews, we were able to determine that the migration of Cuban women is mainly due to economic reasons and suggests the existence of a migratory culture. The use of contraceptive methods does not show marked differences among the groups studied, regardless of the level of schooling. The practice of abortion was widely accepted by the interviewees, some of whom had abortions both in Cuba and in Canada, which would corroborate the existence of an abortion culture. Factors such as the lack of support from close relatives, the employment conditions of both the woman and her partner were highlighted as the most important in the decision to have children among the women interviewed among all the profiles.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".