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Record W575295967

Farmers on Welfare: The Making of Europe's Common Agricultural Policy

2009· book· en· W575295967 on OpenAlexaboutno aff
Ann-Christina L. Knudsen

Bibliographic record

VenueCadmus - EUI Research Repository (European University Institute) · 2009
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsWelfareAgricultureAgricultural economicsCommon Agricultural PolicyNatural resource economicsEconomicsBusinessGeographyMarket economyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In 2007 the farm subsidies of the European Union's common agricultural policy took over 40 percent of the entire EU budget. How did a sesctor of diminishing social and economic importance manage to maintain such political prominence? The conventional answer focuses on the negotiations among the member states of the European Community from 1958 onward. That story holds that the political priority given to the CAP, as well as its long-term stability, resides in a basic devil's bargain between French agriculture and German industry. In Farmers on Welfare, a landmark new account of the making of the single largest European policy ever, Ann-Christina L. Knudsen suggests that this accepted narrative is too neat. In particular, she argues, it neglects how a broad agreement was made in the 1960s that related to the national welfare state policies aiming to improve incomes for farmers. Drawing on extensive archival research from a variety of political actors across the Community, she illustrates how and why this supranational farm regime was created in the 1960s, and also provides us with a detailed narrative history of how national and European administrations gradually learned about this kind of cooperation. By tracing how the farm welfare objective was gradually implemented in other common policies, Knudsen offers an alternative account of European integration history. "This remarkable and rich book sheds much light on the origins and evolution of European agricultural policy. The combination of deep archival research with nuanced political analysis makes it required reading for both historians and political scientists interested in this cornerstone of European integration." Helen Wallace, Centennial Professor, European Institute, London School of Economics and Political Science. "Farmers on Welfare is an important work that provides the most detailed account to date of the creation of the common agricultural policy. Employing newly tapped archival sources, Ann-Christina L. Knudsen challenges much of the received wisdom about the formation of the CAP and, in doing so, offers valuable insights into the nature of European politics and about policy-making in general." Adam Sheingate, The Johns Hopkins University. "Farmers on Welfare is a must-read for serious scholars of European integration. Its core argument that the CAP is a type of social policy and should be viewed as a key component of an international agricultural welfare state rather than simply as a commercial agreement is both provocative and well documented. Its emphasis on the role of ideas as well as its use of historical institutionalism as an organizing framework resonates with ongoing theoretical debates in the social sciences. Ann-Christina L. Knudsen has written an important book that deserves attention." Alberta Sbragia, Jean Monnet Chair ad personam and Director, European Union Center of Excellence, University of Pittsburgh.

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)0.008
metaresearch head score (Gemma)0.006
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: Other
Teacher disagreement score0.013
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.013
Scholarly communication0.0130.008
Open science0.0010.007
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.260
Teacher spread0.215 · 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

Citations181
Published2009
Admission routes1
Has abstractyes

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