Theoretical and Methodological Contributions of a Multi-Situated Approach and the Analysis of Migration Routes: The Example of Migration between Morocco and Canada
Bibliographic record
Abstract
Based on a series of research results on Moroccan migration to Canada, this paper seeks to prove how focusing on the migration routes of a specific national group of migrants and using a multi-situated methodological approach will not lead to the "ethnisizing", culturalizing or nationalizing of the experienced realities, but rather to the placing of actions within their political, cultural, social and economic structuring contexts. By resorting to an inductive approach, this perspective allows us to identify frontiers (in a symbolic sense) other than cultural or national belonging, reminding us of the internal heterogeneity of the studied national group, allowing us to apprehend other decisive factors in the migration route, and favoring our understanding of the plurality of the space practices and integration strategies developed by social actors when facing the concrete opportunities and limitations found during the whole migration process.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".