Bibliographic record
Abstract
Forced migration shaped the creation of Canada as a settler state and is a defining feature of our contemporary national and global contexts. Many people in Canada have direct or indirect experiences of refugee resettlement and protection, trafficking, and environmental displacement. Offering a comprehensive resource in the growing field of migration studies, Forced Migration in/to Canada is a critical primer from multiple disciplinary perspectives. Researchers, practitioners, and knowledge keepers draw on documentary evidence and analysis to foreground lived experiences of displacement and migration policies at the municipal, provincial, territorial, and federal levels. From the earliest instances of Indigenous displacement and settler colonialism, through Black enslavement, to statelessness, trafficking, and climate migration in today’s world, contributors show how migration, as a human phenomenon, is differentially shaped by intersecting identities and structures. Particularly novel are the specific insights into disability, race, class, social age, and gender identity. Situating Canada within broader international trends, norms, and structures – both today and historically – Forced Migration in/to Canada provides the tools we need to evaluate information we encounter in the news and from government officials, colleagues, and non-governmental organizations. It also proposes new areas for enquiry, discussion, research, advocacy, and action.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.018 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".