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Record W2050885262 · doi:10.1177/1532708611414658

Fighting for the Future

2011· article· en· W2050885262 on OpenAlexaff
Henry A. Giroux

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2011
Typearticle
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDissentCommodificationPoliticsCapitalismFormative assessmentPolitical sciencePolitical economyCoercion (linguistics)SociologyTemptationMedia studiesLawEconomySocial psychology

Abstract

fetched live from OpenAlex

This article compares the massive and widespread student protests in Europe and the Middle East with the relatively weak forms of protests emanating from students in the United States. Through consideration of the different formative cultures in Europe and the Middle East and the protesters’ use of the new media technologies, the article argues that the formative culture for dissent and critical education in the United States has been weakened and depoliticized, while neoliberal economic conditions and disciplinary apparatuses have amplified such conditions. Increased privatization, the closing down of critical public spheres, and the endless commodification of all aspects of social life have created a generation of students in the United States reared on the view that politics is irrelevant. In contrast, the message heard by students all over the world, especially in Europe, is that casino capitalism and totalitarian societies can no longer make a claim on the future of young people and increasingly are failing, either through making false promises or using threats and coercion to contain the hopes of young people. Rather than asking why U.S. students do not engage in massive protests, the crucial question raised by this article is when will they look beyond the norms, discourses, and rewards of the neoliberal society they have inherited from their elders?

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)0.004
metaresearch head score (Gemma)0.006
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 score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.021
Scholarly communication0.0100.013
Open science0.0010.007
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0170.003

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 head0.291
GPT teacher head0.460
Teacher spread0.169 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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