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Record W2290371296 · doi:10.26522/ssj.v9i1.1147

Activism and the Academy in Ireland: A Bridge for Social Justice

2015· article· en· W2290371296 on OpenAlexvenueno aff
Micheál O’Flynn, Aggelos Panayiotopoulos

Bibliographic record

VenueStudies in Social Justice · 2015
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHegemonySociologyNarrativePoliticsSocial transformationSocial justiceEconomic JusticeCollective actionReading (process)Bridge (graph theory)Social movementPublic relationsPolitical scienceGender studiesSocial changePublic administrationLawPolitical economy

Abstract

fetched live from OpenAlex

This article is concerned with the working relationships between progressive academics, students, left activists, and trade unionists in Ireland, and with the apparent division between theory-led and action-led perspectives. We reflect on our efforts to draw progressive forces in Ireland together through a number of initiatives: reading groups, conferences, educational seminars, workshops, the publication of a quarterly paper, and the organization of precarious workers in higher education. We argue that although activism and academia are sometimes treated as separate spheres, there are spaces for academia in activism and for activism in academia. Finding and filling those spaces means resisting efforts to limit academia to interpreting the world, and finding ways to demonstrate the emancipatory potential of education among activists whose time is taken up with struggling against immediate structural inequalities and attempting to mobilize people into a political force. We argue that scholar-activists should play an important role helping to assemble the collective resources of the working class, as well as organising for longer-term social transformation. We call on scholar-activists to collaborate in constructing a counter-hegemonic narrative and developing a collective strategy for social justice.

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)0.022
metaresearch head score (Gemma)0.025
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0460.074
Scholarly communication0.0350.014
Open science0.0040.055
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0100.002

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 head0.283
GPT teacher head0.530
Teacher spread0.247 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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