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Record W2984011726 · doi:10.18174/498882

De landbouw en het landelijk gebied in Nederland in beeld : Een houtskoolschets van de SWOT voor het GLB

2019· report· nl· W2984011726 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typereport
Languagenl
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsImpact
Fundersnot available
KeywordsSWOT analysisHumanitiesPolitical scienceArtManagementEconomics

Abstract

fetched live from OpenAlex

Voor de periode 2021-2027 moeten lidstaten in een Nationaal Strategisch Plan (NSP) uiteenzetten hoe zij met hun beleidsinzet gaan bijdragen aan door de Europese Commissie geformuleerde doelstellingen voor het Gemeenschappelijk Landbouwbeleid. Deze beleidsinzet is mede gebaseerd op een zogenaamde SWOT-analyse (Strengths Weaknesses Opportunities Threats). Met oog op het voorbereiden van het NSP, heeft het ministerie van LNV ervoor gekozen om een SWOT-analyse te maken in twee fasen. In de eerste fase wordt een SWOT-analyse op hoofdlijnen ('Houtskool-SWOT') opgesteld. In een tweede fase komt de definitieve SWOT-analyse tot stand.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.004

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 head0.017
GPT teacher head0.259
Teacher spread0.242 · 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

Quick stats

Citations22
Published2019
Admission routes1
Has abstractyes

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