MétaCan
Menu
Back to cohort
Record W3197627057

A Critical Discourse Analysis of the University of Ottawa's Internationalization Strategy Report from a Third World Perspective

2020· article· en· W3197627057 on OpenAlexaffabout
Vinícius Silva Alves

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInternationalizationRationalityGlobalizationPolitical scienceMulticulturalismCurriculumPromotion (chess)Perspective (graphical)InstitutionSociologyPublic administrationPolitical economyEconomicsLawInternational trade
DOInot available

Abstract

fetched live from OpenAlex

This paper offers a critical analysis of the Internationalization Strategy Report of the University of Ottawa, according to the Third World Approach to International Law (TWAIL) methodology. It argues that the Strategy silences global unevenness, avoids any pedagogical discussion, and reproduces the neoliberal rationality about globalization in its discourse. Also, the liberal multiculturalism evoked in the Strategy hinders the incorporation of marginal cultural narratives, and it is driven by the promotion of economic assets for the university. As the internationalization of the curriculum is not prioritized, the Strategy Report does not consider the reproduction of developed countries' academic canons and the obstacles to the incorporation of knowledge produced in Third World countries. This indicates no concern with the prevalence of a neocolonial bias. Alternatives to balance this situation are offered, such as administrative recommendations, the strengthening of the public debate, and the attention to diversity as a criterion for research funding.

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)0.028
metaresearch head score (Gemma)0.036
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.011
Science and technology studies0.0330.048
Scholarly communication0.0280.009
Open science0.0030.009
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.317
Teacher spread0.305 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicHigher Education Governance and DevelopmentFrench-language works237,207