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Record W3201996458 · doi:10.1080/14494035.2021.1975220

Whose voice matters in the teaching and learning of IPE? Implications for policy and policy making

2021· article· en· W3201996458 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

VenuePolicy and Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Science Research and Education
Canadian institutionsCarleton University
Fundersnot available
KeywordsPrivilege (computing)CurriculumDominance (genetics)Policy learningPoliticsSociologyField (mathematics)Policy analysisPolitical sciencePositive economicsPolitical economyPublic administrationEconomicsPedagogyLaw

Abstract

fetched live from OpenAlex

ABSTRACT Critical decolonial assessments of International Political Economy (IPE) curricula have found a continued dominance of Euro-Western perspectives. However, these critical assessments have often been of specific programs or courses. In this article, we open the canvas wider in our quantitative assessment of privilege and marginalization, by conducting an analysis of IPE curricula from universities from around the world as well as of one of the most widely used introductory textbooks in the field. We find that scholars based outside of the Euro-West are marginal, while those based in the Euro-West continue to be dominant – in all the assessed course offerings. We also find that female voices are marginal, in all locations. Knowledge production systems privilege Euro-Western male voices and perspectives, furthering a process of systemic cognitive and epistemic injustices. Building upon our analysis of teaching and learning content, this article critically reflects on the implications of when IPE meets policy, and offers avenues for the policy engagement to avoid the same processes of privileging and marginalizing, and thereby better situating policy making to avoid repeating failures resulting from the identified entrenched biases.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.669
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.054
GPT teacher head0.461
Teacher spread0.407 · 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