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Record W2922185862 · doi:10.1080/15502724.2018.1550365

Judging the Scientific Quality of Applied Lighting Research

2019· article· en· W2922185862 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLEUKOS The Journal of the Illuminating Engineering Society of North America · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicColor Science and Applications
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsPresentation (obstetrics)ArchitectureComputer scienceQuality (philosophy)Experimental scienceData sciencePsychologyEngineering ethicsEngineeringEpistemologyHistoryMedicine

Abstract

fetched live from OpenAlex

Applied lighting research is inherently interdisciplinary. Any one study in which investigators seek to understand the effects of light may involve expertise drawn from fields as varied as psychology, physiology, photobiology, vision science, engineering, physics, horticulture, and architecture. Despite differences in the specifics of research methods, data management, data analysis, and presentation, the logic of scientific thinking is a common thread. This is the basis on which the peer review system operates. This article leads readers through the criteria used by journal reviewers and editors to determine the acceptability of papers for publication in a peer-reviewed journal. This is done by review of the 1941 paper by Kruithof in which he described the now-famous “Kruithof curve” relating preferred light source color temperatures and illuminances: How would one review the original Kruithof paper today, and what would we expect to be told about this work in order to judge the validity of the conclusions?

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.286
Teacher spread0.265 · 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