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Record W4391688440 · doi:10.51644/9781554589647-001

List of Illustrations

2014· book-chapter· en· W4391688440 on OpenAlexaboutno aff
Neil Arason

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceHistory

Abstract

fetched live from OpenAlex

Anti-speeding publicity 97 Child blamed for his own death, 1940s 107 Pedestrian-safety poster, UK 113 Chicane 120 Raised pedestrian crossing 121 One-directional street closure 124 Pedestrian scramble, Calgary 127 Prohibition of right-turn-on-red 130 Advanced stop line at pedestrian crossing 132 Hawk pedestrian crossing 133 Pedestrian median 136 Danish offset pedestrian crossing 137 Roundabout designed for pedestrian safety 14 0 Stop sign obstructed by plant growth 14 3 Bicycle box 14 6 Coloured bicycle lane 148 Cycle track 150 Variable transverse pavement markings 162 Vehicle-activated LED chevron signs 16 5 Tensioned cable barrier on median 167 Crash attenuator 168 Mini-car 208 Vehicle-size mismatch 20 9 Rear guard on truck

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.319
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6810.516

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 head0.010
GPT teacher head0.177
Teacher spread0.167 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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