MétaCan
Menu
Back to cohort

Canadian Higher Education and Citizenship in the Context of State Restructuring and Globalization

2008· article· en· W2052140510 on OpenAlexaffvenueabout
Jamie-Lynn Magnusson

Bibliographic record

VenueEncounters in Theory and History of Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRestructuringIdeologyHegemonyNeoliberalism (international relations)GlobalizationPolitical scienceSociologyCitizenshipWelfare statePolitical economyHigher educationCurriculumDemocracyPublic administrationPoliticsPedagogyLaw

Abstract

fetched live from OpenAlex

This paper explores the reshaping of higher education within a neoliberal paradigm of economic development and the implications for universities and colleges as sites of citizenship formation. The work of Torfing, in particular his critical integration of the work of Laclau, Mouffle, and Zizek, provides the theoretical framework for the analysis. After revisiting the relation between higher education and the development of the welfare state, the paper examines the restructuration that is taking place in curriculum, pedagogical method, governance, and administration. Constructivism, dominant paradigm in educational circles, the author argues, supports the neoliberal ideology within the global economy. The implications of the changes are also evident in the deregulation of fees and the sanctioning of private degree-granting institutions. The paper not only examines how the institutions are contributing to the expansion of the hegemonic discourse but also refers to emancipatory movements emerging from the areas of health, environment, social equity, and motivated by democratic concerns. Higher education has a role in political resistance.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0240.018
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.276
Teacher spread0.263 · 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 designTheoretical or conceptual
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

Citations13
Published2008
Admission routes3
Has abstractyes

Explore more

Same venueEncounters in Theory and History of EducationSame topicGlobal Educational Policies and ReformsFrench-language works237,207