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Record W2728449189 · doi:10.26481/dis.20170626mds

Autonomy through precedent

2017· dissertation· en· W2728449189 on OpenAlexaff
de Somer

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsMontreal Council on Foreign Relations
Fundersnot available
KeywordsAutonomyPolitical scienceLaw

Abstract

fetched live from OpenAlex

In dit proefschrift werd onderzoek gedaan naar de rol en de autonomie van het EU Hof van Justitie binnen Europese integratieprocessen.Of het Hof de autonomie bezit om Europeaniseringsprocessen verder te leiden dan wat origineel was voorzien door de EU lidstaten is een vraagstuk dat de literatuur reeds lang bezighoudt.Tegenstrijdige analyses van het Hof als óf een instelling die trouw de politieke preferenties van de lidstaten opvolgt, óf een entiteit die tegen zulke preferenties ingaat, verdelen reeds lang de politiek wetenschappelijke werken over het Hof van Justitie.De maatschappelijke relevantie van een correct inzicht in de precieze rol en autonomie van het Hof is groot.Geïmpliceerd in vraagstukken over de rol van de rechterlijke macht op Unie niveau zijn bredere vragen over de democratische opzet en toerekenbaarheid van de Europese Unie algemeen.In 2016, tegen de achtergrond van de naderende Brexit en een algemene trend richting een vergroot gebruik van nationale fora en instellingen, zijn zulke vragen pertinenter dan ooit.

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)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.020
Scholarly communication0.0080.009
Open science0.0010.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0270.004

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 head0.038
GPT teacher head0.400
Teacher spread0.362 · 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 designTheoretical or conceptual
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".

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Citations0
Published2017
Admission routes1
Has abstractno

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Same topicInternational Law and Human RightsFrench-language works237,207