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Record W1541134485

ALL IN THE MIND

2003· article· en· W1541134485 on OpenAlexaboutno aff
Kathleen T. Hall

Bibliographic record

VenueSurveyor magazine · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsAdmirationSympathyPublic transportQuarter (Canadian coin)Traffic congestionTransport engineeringAdvertisingPsychologySocioeconomicsSociologyEngineeringBusinessSocial psychologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Traffic management schemes are required to reduce congestion in Southeast London, UK. A SELTRANS (South East London Transport Strategy) travel plan scheme that used psychological research as part of its approach is described. A survey was conducted of a representative cross section of the public in Southeast London boroughs. It showed that 9.9% of respondents believed buses were for lower income groups, 27.4% said that friends and family did not use the bus and 7.2% said that there was a stigma attached to bus use. Males, residents living in greener, affluent boroughs and 45 to 64-year olds related the most stigma to bus use. Almost a quarter agreed a bus just for business commuters would be effective. Drivers were questioned about their attitudes to cyclists. Almost a third expressed admiration for cyclists and only 10% expressed sympathy. Some groups were aware of their contribution to negative environmental impacts, but were unwilling to take any personal responsibility or change their behaviour.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.309
Threshold uncertainty score0.985

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.3090.226

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 head0.070
GPT teacher head0.341
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2003
Admission routes1
Has abstractyes

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