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Record W4367031639 · doi:10.4337/9781781954621.00038

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2015· paratext· en· W4367031639 on OpenAlexaboutno aff

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2015
Typeparatext
Languageen
FieldEnvironmental Science
TopicAgriculture, Water, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)Computer scienceWorld Wide Web

Abstract

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Adenäuer, M. 486 advertising 273, 278 see also food labelling requirements and CAP 2020 aims Ærtebjerg, G. 224 affordability of food 450-51, 461 see also food security Africa ACP (African, Caribbean and Pacific) countries 388, 393, 394-7, 489, 495, 497, 499, 508, 512-16, 519, 526 Comprehensive Africa Agricultural Development Programme (CAADP) 480 ECOWAS Agreement 514 Ethiopia, famines 469, 470, 481 livestock exports from horn of Africa, concerns over 518-19 agri-environmental governance models under CAP 113-24, 532 biodiversity gains, moderate 119 cross-compliance commitment 116 decoupled payments under Pillar II 118-19 direct income transfers 116-17 export subsidies, abolition of 117, 118 and fiscal retrenchment 118-23 Less-favoured Areas Directive (Directive 75/268) 116 multifunctionality in WTO 116-18 neo-liberal model 117-18 and New Public Management 121 'payments for ecosystem services' (PES) 119-23 'payments for ecosystem services' (PES), entrepreneurialism aspect 121-2 'payments for ecosystem services' (PES), results-orientated payments 121 restructuring policy and Mansholt Plan rejection (1968) 115 rural development programmes 115-16 scientific assessments, scarcity of 119 Single Farm Payment and Mid-term Review 117, 118 state funding of green payments 114-15 working lands, sustaining commitment to 114-16, 118-19, 121, 123 WTO Green Box compatibility 117 see also environmental dimension of agriculture and CAP agri-food EU as net exporter 446, 447 trade with developing countries 487, 490 'agricultural activity' requirement and Direct Payments Regulation 422-4, 429-31 see also direct payments Aid for the Needy scheme 23 Albissini, F. 369 Alcohol Labelling Directive 273 see also food labelling requirements and CAP 2020 aims Alston, P. 467, 475, 476 Anania, G. 497 Anderson, K. 3, 404 animal breeds as PDO 292 see also Quality Schemes for Agricultural Products and Foodstuffs Regulation animal welfare legislation and public morality 323-40, 534 Battery Hen and Broiler Chicken Directives 336, 338-9 Cat and Dog Fur Regulation 336, 337-8 CIWF (Compassion in World Farming) and animal exports 334-5 export of live cattle 332-5 Foot and Mouth Control Directive 335 free movement of workers 331-2 harmonizing EU legislation, importance of 324, 333, 334, 335, 336 Inuit hunt exception, and UN Declaration on the Rights of Indigenous Peoples 324, 327 Leghold Trap Regulation 336, 337 morality in CJEU decisions 332-6 organic food and farming 319 public morality as factor in internal market decision-making 329-30 seal products, Canadian and Norwegian litigation 325-9 seal products, exceptions to products being placed on market 324 Seal Products Regulation 324-9, 337, 534

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.289
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7110.545

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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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.

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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