MétaCan
Menu
Back to cohort
Record W7039253183

Lernen von Ottawa? Perspektiven der humanitären Ächtung von Kernwaffen im 21. Jahrhundert

2015· other· de· W7039253183 on OpenAlexaboutno aff

Bibliographic record

VenueSocial Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · 2015
Typeother
Languagede
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDysgeusiaDiafiltrationLiquationFusible alloyDemotion
DOInot available

Abstract

fetched live from OpenAlex

"Der nukleare Rüstungskontroll- und Abrüstungsprozess liegt seit Jahren brach. Doch eine humanitäre Initiative bemüht sich darum, einen globalen Diskurswechsel in der Kernwaffenfrage zu erzielen. Ein solcher Diskurswechsel, der der menschlichen Sicherheit gleiche Bedeutung zumisst wie der staatlichen Sicherheit, ging auch den erfolgreichen Kampagnen für das Verbot von Anti-Personenminen und Streumunition voraus. Die Autoren zeigen Gemeinsamkeiten und Unterschiede der humanitären Initiative und den anderen Kampagnen auf. Sie loten die Erfolgschancen aus, inwieweit die Ächtung von Kernwaffen die Haltung der Atommächte und das nukleare Nichtverbreitungsregime beeinflussen kann." (Autorenreferat)

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.006
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0230.002

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 head0.069
GPT teacher head0.381
Teacher spread0.312 · 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 designQualitative
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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueSocial Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences)Same topicIchthyology and Marine BiologyFrench-language works237,207