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Record W3183473659 · doi:10.1093/jrs/feab083

Beyond the Partnership Debate: Localizing Knowledge Production in Refugee and Forced Migration Studies

2021· article· en· W3183473659 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.

Bibliographic record

VenueJournal of Refugee Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsCarleton UniversityToronto Metropolitan University
Fundersnot available
KeywordsRefugeeForced migrationKnowledge productionGeneral partnershipBlessingCurseSolidarityKnowledge transferPolitical scienceSociologyLeverage (statistics)Public relationsKnowledge managementEconomicsManagementPoliticsGeographyLawComputer science

Abstract

fetched live from OpenAlex

Abstract There is a growing recognition in refugee and forced migration studies that research partnerships, especially those that cross geographies of the global North and global South, are both a blessing and a potential curse. They are a blessing as they encourage new approaches to the co-creation of knowledge, build solidarity networks, and leverage support for scholars based in the global South. But they can also be a curse as they typically function within and can inadvertently reproduce deeply embedded structures of inequality. Drawing on the results of a review of forced displacement research centres based in the global South and interviews with the directors of these centres, this article encourages a shift from focusing on research partnerships to an approach that supports the localization of knowledge production in refugee and forced migration studies. This approach seeks to change the structures of knowledge production, including direct funding to researchers and research centres based in the global South, an emphasis on the transfer of power to researchers in the South, a recognition of the diverse forms and sources of knowledge produced within the field, and an appreciation for the diverse understandings of success and impact across contexts.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.069
GPT teacher head0.392
Teacher spread0.323 · 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