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Record W2010857741

Blinded by the lights

2005· article· en· W2010857741 on OpenAlex
Caroline Williams

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe New Scientist · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicImpact of Light on Environment and Health
Canadian institutionsnot available
Fundersnot available
KeywordsDaytimeComplaintEnvironmental healthMedicineAeronauticsAdvertisingBusinessEngineeringPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

The Association of Drivers against Daytime Running Lights (DaDRL), based in northwest Wales, is a pressure group with the sole purpose of fighting the use of headlights in the daytime. Membership is rising. The main complaint is that using lights in the daytime causes dazzle to other drivers and make cyclists, motorcyclists and pedestrians more vulnerable. The issue is becoming more important as daytime running lights (DRL) may become mandatory in the USA and Europe in a bid to save lives and reduce accidents. DRLs are compulsory in some countries, such as Canada, Denmark, Norway and Sweden. A study by NHTSA and a review financed by the European Commission have concluded that DRLs reduce multiparty daytime crashes by 5-23%, but these figures have been refuted by the British Motorcyclists Federation and DaDRL. DaDRL also suggests that using conventional DRLs increases carbon emissions, but that light emitting diodes (LEDs) would reduce the environmental impact of DRLs.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.008

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 head0.014
GPT teacher head0.259
Teacher spread0.245 · 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