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Record W60775926

Las cooperativas en EE.UU, Canadá, Australia y Nueva Zelanda

2013· article· es· W60775926 on OpenAlexaboutno aff
Eduardo Baamonde Noche

Bibliographic record

VenueMediterráneo económico · 2013
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGeographyWelfare economicsEconomyHumanitiesEconomics
DOInot available

Abstract

fetched live from OpenAlex

espanolEstos cuatro paises cuentan con un sector agrario y agroalimentario extraordinariamente desarrollado y orientado al mercado y con un cooperativismo en consonancia. De hecho, puede decirse que el grado de desarrollo del sector es una consecuencia directa del desarrollo e implantacion del cooperativismo. Por otra parte, la estructura productiva de estos paises se asienta en explotaciones de dimension media considerablemente superior a la europea, pero ello no significa que los productores no tengan necesidad de integrarse en cooperativas y, salvo el caso de Australia, donde no han existido a lo largo de su historia politicas incentivadoras, tanto Canada, como los Estados Unidos y Nueva Zelanda cuentan con las cooperativas mas potentes del mundo, a la altura de las multinacionales mas importantes de la agroalimentacion. EnglishThese four countries have an extraordinarily developed and market-oriented agri-food sector wherein the cooperative movement has developed accordingly. In fact, it can be said that the degree of development in the sector is a direct consequence of the development and implementation of the cooperative movement. Moreover, the productive structure of these countries is based on farms that are on average considerably larger than in Europe, but this does not mean that producers don’t need to join cooperatives and, except in the case of Australia, where there have been no incentive policies throughout its history, both Canada, the United States and New Zealand all have the most powerful cooperatives in the world, right up there with the major agri-food multinationals

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0380.023

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 head0.019
GPT teacher head0.236
Teacher spread0.217 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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