MétaCan
Menu
Back to cohort
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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.283
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 teacher head, not a consensus.

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

Explore more

Same venueStudies in Social JusticeSame topicEmployment and Welfare StudiesFrench-language works237,207