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Record W2135736316 · doi:10.1177/1028315307308137

The Return of the Subaltern: International Education and Politics of Voice

2007· article· en· W2135736316 on OpenAlexaff
Alireza Asgharzadeh

Bibliographic record

VenueJournal of Studies in International Education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsYork University
Fundersnot available
KeywordsSubalternMulticulturalismSociologyHuman rightsIntercultural relationsPoliticsVariety (cybernetics)International relationsDiversity (politics)Intercultural communicationGender studiesSocial sciencePolitical sciencePedagogyLawAnthropology

Abstract

fetched live from OpenAlex

In a rapidly globalizing world, it is becoming a major task of international education to study a variety of sociopolitical, economic, developmental, and intercultural relations, at the heart of which lie issues around subalternity, diversity, language, and dialogue. In its current state, how well prepared is the field of international education to deal with these complex issues? Through an exploration of narratives from various intellectual, cultural, and linguistic traditions, this article maintains that (a) concerns around critical dialogue and freedom of expression are universal concerns applicable in/to different environments and cultures; (b) such concerns need to be situated within the wider issues around diversity, multiculturalism, multilingualism, human rights, peace, and social justice; and (c) international and global education can take on this challenge by critically engaging various issues emerging from conditions of subalternity, politics of voice, and multiple identities, as well as a variety of diasporic, multicultural, postcolonial, and global 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.020
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.059
Scholarly communication0.0200.019
Open science0.0010.014
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.454
Teacher spread0.402 · 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 source (direct Gemma or distilled Codex), 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

Citations24
Published2007
Admission routes1
Has abstractyes

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