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Record W4387676713 · doi:10.15173/glj.v14i3.5625

Breaking the impasse: Reflections on university worker organising in the UK

2023· article· en· W4387676713 on OpenAlexvenueno aff
Katy Fox‐Hodess, David Harvie, Mariya Ivancheva

Bibliographic record

VenueGlobal Labour Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyPolitical sciencePublic relationsBusinessManagementMedia studiesEconomics

Abstract

fetched live from OpenAlex

Since 2022, Britain has been in the midst of its largest strike wave in decades, with protracted industrial action across much of the public sector, as well as in industries such as transport.In the twelve months to June 2023, four million working days were lost to labour disputes, a dramatic shift from 2018, when the corresponding figure was just 272 000, the sixth-lowest annual total since records began in 1891.Perhaps surprisingly, however, two-thirds of the working days lost in 2018 were in the education sector, primarily universities (ONS, 2019) -and university strikes have accounted for a significant proportion of the total working days lost in each subsequent year.In early 2018, up to 42 000 members of the University and College Union (UCU), employed at sixty-four universities, struck for fourteen days as part of a national dispute over privatisationinflicted reductions to pension entitlements.The mass mobilisation by UCU was a surprising about-face for a union that for many years had been criticised by its members for its overly cautious approach to industrial action.This mobilisation reached a crescendo in the spring of 2018 with a rank-and-file rebellion of members, many of them newly activated by the dispute, opposing capitulation by the union's then-leadership to the proposed cuts.The pension dispute, however, was not based around a sector-wide demand.Proposed changes to the pension scheme primarily affected staff in the older research-intensive universities that participate in the Universities Superannuation Scheme (USS).Faculty at the remaining hundred or so "new" or "post-92" universities accrue pension benefits in a separate plan.(The "post-92" universities, former polytechnics and teaching colleges, are so called because they were granted the right to call themselves universities by the government in 1992).In addition, casualised staff who move frequently between institutions on so-called "fixed-term" and "zero-hours" contracts -and who in any case may feel sceptical about their long-term prospects in the sector -were often less identified with the issue of the dispute than academic and professional services staff on openended contracts at the striking universities.UCU's casualised members, who have suffered the most severe assaults on their working conditions, were nevertheless present in significant numbers on the picket lines in 2018 and were often more militant than their more secure colleagues.They naturally wanted to see the union address the issues that mattered most to them as well.Under pressure to reflect this reality, a year later, UCU opened a second, parallel dispute, involving workers in all 160+ British institutions of higher education.Known as the "Four Fights", this revolved around claims on four issues: 1. Pay, which since 2009 has been eroded by one-fifth in real terms, even before Britain's recent cost-ofliving crisis; 2. Equalities, with women, workers of colour and workers with disabilities facing substantial pay gaps; 3. Workloads, which are widely viewed by university staff as having become unmanageable, contributing to high levels of poor physical and mental health amongst university

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)0.018
metaresearch head score (Gemma)0.034
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 score0.162
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0310.026
Scholarly communication0.0290.016
Open science0.0050.022
Research integrity0.0200.021
Insufficient payload (model declined to judge)0.0320.005

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 head0.055
GPT teacher head0.407
Teacher spread0.352 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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