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Twee klimaatzaken (Urgenda/Staat der Nederlanden en Milieudefensie c.s./Royal Dutch Shell plc), een vergelijkbare uitkomst

2022· article· nl· W4283689469 on OpenAlexaff
C. de Groot

Bibliographic record

VenueOnderneming en Financiering · 2022
Typearticle
Languagenl
FieldEnvironmental Science
TopicEnvironmental Policies and Emissions
Canadian institutionsVictorian Order of Nurses
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Twee klimaatzaken (Urgenda/Staat der Nederlanden en Milieudefensie c.s./Royal Dutch Shell plc), een vergelijkbare uitkomst De Urgenda-zaak gaat over een vordering van Stichting Urgenda tegen de Staat der Nederlanden. Stichting Urgenda wilde een aan de Staat op te leggen bevel om het volume van de uitstoot van broeikasgassen in Nederland te (doen) beperken. De rechtbank en het gerechtshof Den Haag hebben deze vordering toegewezen. De Staat heeft daartegen tevergeefs beroep in cassatie ingesteld. De Milieudefensie-zaak gaat over een vordering van Milieudefensie c.s. tegen Royal Dutch Shell plc (RDS), de moedervennootschap van het Shell-concern. Milieudefensie c.s. vorderden een aan RDS op te leggen bevel om het volume van de uitstoot van CO 2 die het gevolg is van de bedrijfsactiviteiten van het Shell-concern te reduceren. De rechtbank Den Haag heeft deze vordering toegewezen. Het arrest van de Hoge Raad en het vonnis van de rechtbank Den Haag zijn belangrijke uitspraken op het gebied van duurzaamheid.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.507
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0260.002

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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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