MétaCan
Menu
Back to cohort
Record W7155025388

Vertellen en daarbij mag je best tellen:over het potentieel van narratieve verantwoording

Hester van de Bovenkamp, Josje; id_orcid 0000-0001-6291-1668 Kok, Annemiek Stoopendaal, Anne Margriet Pot

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.

Bibliographic record

VenueEUR Research Repository (Erasmus University Rotterdam) · 2024
Typeother
Language
Field
Topic
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsIsraelitesMistake
DOInot available

Abstract

fetched live from OpenAlex

Volgens de troonrede op Prinsjesdag 2023 beliep de begroting voor volksgezondheid in 2024 € 103,4 miljard, ongeveer gelijk aan de begroting van 2023 met € 103 miljard1. Het lijkt alsof de kostenstijgingen in de zorg tot staan gekomen zijn. Meer dan vijftig jaar kostenbeheersing in de zorg maakt echter duidelijk hoe moeilijk dit vraagstuk is te temmen.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.138
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0110.007
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0090.009
Research integrity0.0040.015
Insufficient payload (model declined to judge)0.0170.149

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 head0.309
Teacher spread0.271 · 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