MétaCan
Menu
Back to cohort
Record W3110141461 · doi:10.1177/1048291120974422

Political Openings: Class Struggle During and After the Pandemic

2020· article· en· W3110141461 on OpenAlexaff
Sam Gindin

Bibliographic record

VenueNEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsYork University
Fundersnot available
KeywordsCapitalismPoliticsMainstreamPolitical economyDemocracyPolitical scienceState (computer science)SociologyLaw

Abstract

fetched live from OpenAlex

Capitalism's sustained failures to address popular needs, hopes, and fears have led to a delegitimation of state institutions and mainstream political parties. The crisis is consequently not primarily economic but social and political. The pandemic further exposed capitalism's social irrationalities, intimated how unprepared we were for the much larger environmental pandemic to come, and generated a new level of empathy for the value of frontline workers and the workplace health risks they are exposed to. Building on these openings requires identifying a few key demands around which to unify fragmented social movements; acquiring new understandings; placing larger issues of property rights and democracy on the agenda; and creating workplace, local, and national organizations with the capacity to realize substantive change. The strategic demands the article suggests and elaborates are an emergency wealth tax, conversion of industrial capacity for environmental reconstruction, and the strengthening of unions as a social force.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0480.022
Scholarly communication0.0200.009
Open science0.0020.016
Research integrity0.0080.016
Insufficient payload (model declined to judge)0.0160.001

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 head0.072
GPT teacher head0.404
Teacher spread0.333 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNEW SOLUTIONS A Journal of Environmental and Occupational Health PolicySame topicEmployment and Welfare StudiesFrench-language works237,207