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Record W29688489 · doi:10.7202/1044303ar

(Re)Inserting the Subjective “I”: Globalization, neoliberalism & student agency in post-secondary education

2018· article· en· W29688489 on OpenAlexaffvenue
Sarah J. DesRoches

Bibliographic record

VenueLes ateliers de l éthique · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeoliberalism (international relations)Agency (philosophy)GlobalizationIdeologyContext (archaeology)Perspective (graphical)PedagogySecondary educationSociologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

In an increasingly globalized world, post-secondary education is being reduced to instrumental and economic ends; a significant effect of this is that student agency is undermined. Students are incited to perform neo-liberal values that subvert their willingness (and potentially their ability) to think of their post-secondary experience as anything other than professional training. Neo-liberal values do inhibit individuality and agency within a post-secondary context; however, from a Foucaultian perspective, the dominant discourse can never squelch the possibility of alternative discourses from emerging, thereby unhinging the seemingly cemented reality described above. In the first section of this paper, I will provide a theoretical overview of globalization, its relationship to neo-liberalism and how these have impacted post-secondary education. This overview will enable me to consider a very specific example of how neo-liberal ideology is being manifested in post-secondary classrooms: namely, the reluctance of pre-service teachers to use the first person singular pronoun in their research papers.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.028
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.352
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2018
Admission routes2
Has abstractyes

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