MétaCan
Menu
Back to cohort
Record W1657372007

The Long, Lingering Death of Social Democracy

2012· article· fr· W1657372007 on OpenAlexaff
Dennis Pilon

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
Fundersnot available
KeywordsDemocracyCapitalismPolitical economyPoliticsState (computer science)Political scienceCivil societySociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Sometimes it feels like we’ve reached the end of history. The headlines seem ominously familiar: the economy remains in the tank, inequality continues to widen, and social democracy – the last significant electoral embodiment of the left still standing – appears unwilling or unable to do much about it. Much pulling of hair and gnashing of teeth accompanies every lacklustre social democratic turn at governing but there never appears to be much headway in breaking the impasse. Meanwhile, the suggested critical alternatives – Occupy, local food movements, local economies, direct actions, etc. – tend to ignore both the state and any meaningful engagement with the general public. For those who understand capitalism as fundamentally shaped by the state, and the state in turn affected by the great mass political organizing of the 20thcentury left, neither social democratic inactivity nor the turn to civil society is very satisfying. But what can be done, if anything? Social democracy’s decline often seems inevitable, like a long, lingering death where little can block the eventual terminal stage. To begin we need some perspective on the problem, starting with some review essay / note critique

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)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.021
Scholarly communication0.0060.007
Open science0.0010.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.265
Teacher spread0.233 · 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
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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueProject Muse (Johns Hopkins University)Same topicPolitical Economy and MarxismFrench-language works237,207