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Record W4399657059 · doi:10.1093/ahr/rhae131

Aurélie Dianara Andry. <i>Social Europe, the Road Not Taken: The Left and European Integration in the Long 1970s</i>.

2024· article· en· W4399657059 on OpenAlexaffabout
Talbot Imlay

Bibliographic record

VenueThe American Historical Review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Recently, Charles Maier pondered why, beginning in the 1970s, the Left turned into the “non-left left,” a political movement seemingly incapable of offering an effective alternative to the emerging neoliberal project. The question’s pertinence is not merely a product of hindsight. Speaking at a gathering of international socialists in June 1969, Bruno Kreisky, appointed chancellor of Austria the following year, deplored Europe’s “more and more capitalistic, uncontrolled economy,” before pointedly asking “Where are the socialists?” (81–82). In Social Europe and the Road not Taken, Aurélie Dianara Andry takes on Kreisky’s question, demonstrating that socialists—and other elements of the Left—were not only far more politically active than often thought but also elaborated ambitious projects for a “social Europe.” The problem, she explains in this impressive study, is that the Left failed to push through their projects at the European level despite a favorable overall political context during much of the long 1970s.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0020.002
Scholarly communication0.0050.007
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0260.012

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 head0.039
GPT teacher head0.252
Teacher spread0.214 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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