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Record W4381664775 · doi:10.13068/2000-6217.15.1

Världen och vänstern

2023· article· sv· W4381664775 on OpenAlexaff
Göran Therborn

Bibliographic record

VenueArkiv Tidskrift för samhällsanalys · 2023
Typearticle
Languagesv
FieldSocial Sciences
TopicEconomic and Social Issues
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsCapitalismGeopoliticsDialecticColonialismEmancipationPolitical scienceWorld historyDecolonizationPolitical economyEconomic historySociologyHistoryPoliticsLawPhilosophy

Abstract

fetched live from OpenAlex

[The world and the left] In this article, Göran Therborn takes a broad view of the world and the left today and compares the new century with the previous one. The 20th century was shaped by two great systemic dialectics, industrial capitalism and capitalist colonialism, which in all their devastation nevertheless strengthened their exploited parts so that the labour movement and colonial liberation movements could pave the way for historic human advances in living standards, life expectancy, democracy, freedom, gender emancipation and decolonization. The 21st century looks considerably bleaker with accumulating disasters and without any dialectical direction even for elementary human development. From this vantage point, Therborn tries to understand the conditions for the myriad new lefts of the 21st century and their innovative responses to the major challenges we face: the looming climate catastrophe, the new world of imperial geopolitics and the abysmal economic inequalities among an increasingly interconnected humankind. What are the prospects for the ideas of the left? Publication history: Translation of the article “The world and the left” in New Left Review , issue 137 (2022). (Published 21 June 2023) Citation: Therborn, Göran (2023) “Världen och vänstern”, in Arkiv. Tidskrift för samhällsanalys , issue 15, pp. 7–66. https://doi.org/10.13068/2000-6217.15.1

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)0.001
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.025
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0250.007

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 head0.045
GPT teacher head0.336
Teacher spread0.291 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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