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Record W7135628379

Wind interviewet til JydskeVestkysten vedr. den danske grænsekontrol

2017· article· da· W7135628379 on OpenAlexaff
Marlene Wind

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2017
Typearticle
Languageda
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsContext (archaeology)RidiculousSet (abstract data type)
DOInot available

Abstract

fetched live from OpenAlex

Onsdag d. 20. september blev centerleder ved Center for Europæisk Politik Marlene Wind interviewet angående den danske grænsekontrol. Danmark bryder nemlig EU-regler på grund af vores midlertidige grænsekontrol. Men på grund af der forhandles om reglerne, så bliver der ifølge Marlene Wind set igennem fingre med det.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.157
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1570.047

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 head0.082
GPT teacher head0.320
Teacher spread0.238 · 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 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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