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The University Student in a Reflexive Society: Consequences of Consumerism and Competition

2005· article· en· W15463280 on OpenAlexaff
Richard Wellen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsYork University
Fundersnot available
KeywordsReflexivityConsumerismContext (archaeology)Public relationsSociologyGovernment (linguistics)Competition (biology)Higher educationPrestigePolitical scienceElitePolitical economySocial sciencePoliticsLaw

Abstract

fetched live from OpenAlex

In what follows I argue that, with the transformation from elite to mass university systems, the consumer role is ascendant, especially as higher education systems become more institutionally diverse, complex, inclusive and expansive. In this environment, students and their patrons (parents, governments, etc.) demand more responsive and flexible institutional forms, which some sociologists have argued reflects the advent of an increasingly reflexive society. In the case of universities, the result of social reflexivity is an inevitable blurring of some important boundaries, especially those between the external and internal values of the academic culture. In this context it is not surprising that students are more directly and exclusively focused on the utilitarian value of education, and its role as a gateway to occupational opportunities and social prestige. However, I propose that student consumerism need not be a threat to academic communities, especially in a public university system like that of Canadas. In particular, wise government policies concerning student financing and institutional competition can help to avoid some of the crises emerging in market-oriented systems like that of the United States.

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)0.006
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 score0.015
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0130.044
Scholarly communication0.0150.008
Open science0.0010.011
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.312
Teacher spread0.294 · 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

Citations23
Published2005
Admission routes1
Has abstractyes

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