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Record W2064548756 · doi:10.3197/096734007779748282

Sovereignty, Collective Ingenuity and Moral Economies: The Confluence of Transnational Trends, States and Local Strategies in the Pyrenees

2007· article· en· W2064548756 on OpenAlexaff
Ismael Vaccaro

Bibliographic record

VenueEnvironment and History · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsIngenuitySovereigntyModernityHegemonyPolitical economyPoliticsIdeologyState (computer science)CommonsSociologyPopulationEconomic systemPolitical scienceEconomyEconomicsLawNeoclassical economics

Abstract

fetched live from OpenAlex

Abstract The expansion and consolidation of the state's sovereignty and the market economy in the Pyrenees, in northeast Spain, took place through the implementation of a series of territorialisation policies designed to reorganise the territory, its natural resources and its population. This process was supposed to introduce state-driven modernity into these valleys. These governmental technologies also specifically targeted common property. The explicit goal of such political schemes was to dismantle these putatively outdated managerial institutions. In this paper, however, I focus on three examples of commons endurance. Two collective institutions showing high degrees of ingenuity survived the pressure of market and state, and reformulated modernity from a local perspective while preserving or gaining access to natural resources for local communities. These institutions and the social agency that built them were clearly informed by the sets of values that constitute local moral economies. This paper thus examines local responses to the expansion of state-driven modernity as a hegemonic ideological framework, and sovereignty as its jurisdictional scaffold. These answers are analysed as institutional transformations, discursive elaborations, and as political conflicts.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0000.001
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 head0.025
GPT teacher head0.191
Teacher spread0.166 · 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 designQualitative
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

Citations7
Published2007
Admission routes1
Has abstractyes

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