MétaCan
Menu
Back to cohort

Contesting Higher Education

2020· book· en· W4212884879 on OpenAlexaboutno aff
Donatella della Porta, Lorenzo Cini, César Guzmán‐Concha

Bibliographic record

VenuePolicy Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsSocial movementPolitical scienceContentious politicsEmpowermentRelevance (law)Neoliberalism (international relations)Public administrationPolitical economySociologyPublic relationsLaw

Abstract

fetched live from OpenAlex

This close investigation of student protests represents the first comparative review of the subject. Setting the wave of demonstrations within the contexts of student activism, social issues, and political movements, the book casts new light on their impact on higher education and on the broader society. The book begins with an overview of the analysis of transformation in higher education (HE) policies and student politics, linking them to research on the policy outcomes of social movements. HE policies have been shaped by various waves of student mobilization. Students have often been important actors in contentious politics, mobilizing on all main cleavages in society and often stimulating spin-off movements, as well as affecting institutional politics at large. Student protests are therefore affected by public policies at least as much as they affect them. The book focuses on these complex interactions, aiming at understanding the development of student protests within neoliberal universities. It explores four episodes of student contestation over HE reforms, which have recently taken place in Chile, Quebec, England, and Italy. In light of the findings, the book reflects on the impacts of neoliberal policies in contentious politics and point at the relevance of coalitions for a sustained impact of mobilization campaigns. The discussion also points toward the student movements' effects in terms of empowerment, the triggering of spill-over movements, and transformations in electoral and party politics. Offering sophisticated new theoretical arguments based on fascinating empirical work, the insights and conclusions revealed in this study are of value to anyone with an interest in social, political, and related studies.

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)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.017
Scholarly communication0.0120.005
Open science0.0010.009
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.197
GPT teacher head0.417
Teacher spread0.220 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuePolicy Press eBooksSame topicHigher Education Practises and EngagementFrench-language works237,207