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Record W4398922505 · doi:10.7910/dvn/zrctnc

International Treaty Ratification Votes Database (ITRVD), version #1.0

2022· dataset· en· W4398922505 on OpenAlex
Falk Ostermann, Florian Böller, Anna Herranz‐Surrallés, Juliet Kaarbo, Philippe Lagassé, Benjamin Martill, Michal Onderčo, Tapio Raunio, Özlem Terzi, Valerio Vignoli, Wolfgang Wagner

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEUR Research Repository (Erasmus University Rotterdam) · 2022
Typedataset
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsRatificationTreatyDatabasePolitical scienceInternational tradeLawComputer scienceBusinessPolitics

Abstract

fetched live from OpenAlex

The International Treaty Ratification Votes Database (ITRVD) includes data on 6,010 parliamentary votes on the ratification of international treaties for the period between 1990 and 2019 in Canada, Finland, France, Germany, Italy, Slovakia, Spain, Turkey, the United Kingdom, and the USA.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.061
GPT teacher head0.352
Teacher spread0.290 · 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