Immigration Detention in Canada: C’est arrivé près de chez vous
Bibliographic record
Abstract
''This publication is part of the project Mann beißt Hund by Stine Marie Jacobsen. Written by S. Priya Morley and an anonymous refugee lawyer, it was produced in the context of the exhibition the distance between nowhere and now here, curated by Charlotte Lalou Rousseau. Jacobsen conceptualized Mann beißt Hund in Belgium in 2013, concurrently with protests against poorly written legislations of public space and their abusive misuse by city officers. Belgian citizens interviewed by the artist saw C’est arrivé près de chez vous (translated as Man Bites Dog, 1992, a mockumentary following a serial killer’s daily routine) as an illustration of the dangerous slippage from individual discretionary power to collective social disaster. In its initial iteration, Mann beißt Hund included workshops about law writing with teenagers, developed in collaboration with a local lawyer. Displacing the piece into a North-American context, the artist asked two Toronto lawyers to write a film review: a reading of the original film through the lens of the local legal context, specifically drawing analogies with issues of immigration detention in Canada.'' -- \nPubliser's website
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 | 0.022 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".