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Record W3155463940 · doi:10.1093/jrs/feab047

Justice for People on the Move: Migration in Challenging Times

2021· article· en· W3155463940 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Refugee Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsMcGill University
Fundersnot available
KeywordsEconomic JusticeRefugeeLibrary scienceMedia studiesPolitical scienceSociologyHistoryArt historyLawComputer science

Abstract

fetched live from OpenAlex

Justice for People on the Move: Migration in Challenging Times Justice for People on the Move: Migration in Challenging Times. By Gillian Brock. Cambridge and New York: Cambridge University Press, 2020, 256pp. $92 (Hardback). ISBN: 978-1108774581. Merve Erdilmen Merve Erdilmen Department of Political Science, McGill University, Canada Email: merve.erdilmen@mail.mcgill.ca https://orcid.org/0000-0003-3929-8388 Search for other works by this author on: Oxford Academic Google Scholar Journal of Refugee Studies, Volume 34, Issue 3, September 2021, Pages 3545–3548, https://doi.org/10.1093/jrs/feab047 Published: 12 April 2021 Article history Received: 03 March 2021 Published: 12 April 2021

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.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.063
GPT teacher head0.382
Teacher spread0.320 · 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