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Record W2142642425 · doi:10.22230/src.2014v5n3a164

Negotiations of engaged scholarship and equity through a global network of refugee scholars

2014· article· en· W2142642425 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueScholarly and Research Communication · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsYork University
Fundersnot available
KeywordsScholarshipPublic relationsNegotiationPrivilege (computing)Political scienceRefugeeSociologyContext (archaeology)Equity (law)Social science

Abstract

fetched live from OpenAlex

Research partnerships are the foundation of successful engaged scholarship, which typically unites partners across disciplines, institutions, sectors, and countries. While rewarding and generative, these partnerships can also be challenging due to differences in expectations, power, and culture, and difficulties in trust and communication. This article reports on interviews with members of an international refugee research network about participating in global partnerships. Responses are interpreted in light of community university partnerships and South-North partnerships and suggest that both face many similar challenges arising out of structures and norms that privilege Northern, theory-based scholarship, institutions, and outcomes. Vigilance and awareness regarding context can help to confront these challenges. Moreover, global partnerships can benefit from strategies developed in the area of community university partnerships to facilitate trust, communication, and shared ownership of international research projects.

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)0.017
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.570
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.153
GPT teacher head0.483
Teacher spread0.330 · 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