MétaCan
Menu
Back to cohort
Record W2751323372 · doi:10.17160/josha.4.3.324

No idea of risk, Expensive environmental and health panic. Keine Ahnung von Risiko,Teure Umwelt- und Gesundheitspanik.

2017· article· de· W2751323372 on OpenAlexaff
Walter Krämer

Bibliographic record

VenueJournal of Science Humanities and Arts - JOSHA · 2017
Typearticle
Languagede
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsWestern University
Fundersnot available
KeywordsUmweltHealth riskPanicEnvironmental healthPsychologyMedicinePhilosophyHumanitiesPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Most people cannot handle risks and probabilities. For alarmists, this is an advantage, for everything new, it is an obstacle. In reality, of course, the health of Germans and people around the globe as measured by life expectancy is constantly increasing. Based on inadequate risk assessments, billions of Euros are wasted every year on unnecessary and even damaging activities.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.007
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.066
GPT teacher head0.338
Teacher spread0.272 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Science Humanities and Arts - JOSHASame topicRisk Perception and ManagementFrench-language works237,207