Canadian snowbirds in Mexico: transnational life experiences - a reverse perspective
Bibliographic record
Abstract
Much has been said of migrants coming from all over the world to Canada, but there is a rarely interest in the other side of the fence. Every year thousands of Canadians escape from the cold weather during winter season, they are the so-called snowbirds. This paper portrays the life experiences of seven Canadian snowbirds who shared the journey of spending three to seven months each year in five different cities in Mexico. Through the lens of transnationalism, this paper sheds light on a better understanding of this growing phenomenon. It explains how this seasonal migration has developed transnational behaviours in the life of the snowbirds; reflected in their mobility, identity, social networks, political awareness, as well as their cultural and economic practices. This study is not focusing on a specific community but rather on the broader phenomenon across Mexico given Canadian snowbirds are not a homogeneous diaspora in Mexico. Keywords: Canadian snowbirds, Mexico, transnationalism, seasonal migratio
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".