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Record W2769452953

Immigration Detention in Canada: C’est arrivé près de chez vous

2015· book· en· W2769452953 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2015
Typebook
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)RefugeeExhibitionImmigrationPower (physics)Immigration detentionHumanitiesSociologyLawCriminologyArt historyCartographyMedia studiesPolitical scienceArtHistoryGeography
DOInot available

Abstract

fetched live from OpenAlex

''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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.014
GPT teacher head0.244
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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