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Record W4372342676 · doi:10.1080/01419870.2023.2206464

A call to rethink African scholars beyond “local experts”: mobility, race, and gender in Europe

2023· article· en· W4372342676 on OpenAlexaff
Linda Musariri, Yvette Ruzibiza, Jasmine Shio, Dilys Amoabeng, Amisah Zenabu Bakuri

Bibliographic record

VenueEthnic and Racial Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDichotomyLegitimationContext (archaeology)SociologyInequalityRelevance (law)Race (biology)Knowledge productionPower (physics)Ideal (ethics)Political scienceEpistemologyGender studiesPoliticsLawGeographyKnowledge management

Abstract

fetched live from OpenAlex

Development discourses have been widely criticized for creating hierarchical dichotomies, such as “developed” (the global North) and “developing” (the global majority), with the former being the ideal standard to which the rest must catch up. The development paradigm has infiltrated academic spaces globally, including international research collaborations, creating various categories such as (non)scientific (local) expertise. We see such hierarchies as mechanisms of legitimation to maintain the ongoing subjugation of African scholars based on the historical and contemporary asymmetries in global knowledge production. Informed by the experiences of five female African doctoral researchers in the Netherlands, this paper problematizes and disrupts the concepts of “Expert” and “local expert”. We question the relevance of these concepts in a context where global knowledge production continues to feed from coloniality and also question the old power relations that continue to enable knowledge inequalities between the global North and global South.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.630
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.095
GPT teacher head0.426
Teacher spread0.331 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations12
Published2023
Admission routes1
Has abstractyes

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