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Record W2771005999

Flysikkerhet under omstillingsprosesser

2005· article· da· W2771005999 on OpenAlexaboutno aff
Ragnar Rosness, Ulla Forseth, Ivonne Herrera, Erik Jersin, Stig Ole Johnsen, Ranveig Kviseth Tinmannsvik, Camilla Knudsen Tveiten

Bibliographic record

VenueBIBSYS Brage (BIBSYS (Norway)) · 2005
Typearticle
Languageda
FieldPsychology
TopicEducation, Healthcare and Sociology Research
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Rapporten oppsummerer resultatene fra en studie av erfaringer fra andre land vedrørende sikkerhetsmessige konsekvenser av omstillingsprosesser innen luftfart og enkelte andre sikkerhetskritiske virksomheter. Hovedvekten er lagt på å samle erfaringer med omstillingsprosesser innen svensk luftfart gjennom intervjuer, gruppesamtaler, dokumentstudier og gjennomgang av utvalgte sikkerhetsindikatorer. I tillegg har vi rapportert erfaringer fra USA og Storbritannia vedrørende deregulering og privatisering innen henholdsvis luftfart og jernbane. Videre har vi gjennomgått analyser av Challenger-ulykken og en flyulykke ved Dryden i Canada med sikte på å finne eventuelle interessante paralleller til problemstillingen i norsk luftfart . Detaljerte analyser og resultater er dokumentert i separate notater.

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)0.006
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.082
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0820.012

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 head0.091
GPT teacher head0.436
Teacher spread0.345 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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