MétaCan
Menu
Back to cohort

Diagnosis of Defective Colour Vision, 2nd Ed.

2002· article· en· W2089953280 on OpenAlexaff
Jeffery K. Hovis

Bibliographic record

VenueOptometry and Vision Science · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOptics and Image Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsColor visionSection (typography)Color Vision DefectsColour VisionPerceptionPsychologyArtificial intelligenceOptometryMedicineComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

Diagnosis of Defective Colour Vision, 2nd Ed. Jennifer Birch. Boston: Butterworth-Heinemann, 2001. Pages: 160. Price: $55.00. ISBN 0-7506-4174-6. Diagnosis of Defective Colour Vision is intended to be a practical guide for testing and managing patients with color vision defects. The book contains 11 chapters that cover five major areas. The first three chapters provide a basic understanding of normal color perception, so that the reader can gain a reasonable appreciation of the differences between color-normal and color-defective individuals. The next section of the book covers basic definitions and characteristics of congenital color vision defects, including the genetics. The third section is the heart of the book. In these chapters, Professor Birch describes specific color vision tests and their design and clinical use for both children and adults. She also overviews several cases and provides templates for reports to teachers, parents, and other health care providers. The fourth section is a slight detour from congenital color vision defects. This section overviews the more common acquired color vision deficiencies and their appropriate testing strategies. The final section of the book returns to the subject of congenital color vision deficiencies, with discussions on occupational concerns and color vision defects and the use of colored filters as an aid to improve color discrimination. The content of this book lives up to its title. This is a text that is primarily devoted to testing and management issues. The chapters on basic color science and characteristics of defective color vision defects are not intended to be an in-depth discussion, but they do provide an adequate foundation for clinicians and students. The section on the genetics of color vision deficiencies is updated from the book’s first edition, reflecting the extensive work that has taken place in molecular genetics over the past decade. Again, the text provides an adequate overview of the current genetic theories. The remaining sections on testing and management offer a more extensive review of these topics, reflecting Professor Birch’s extensive experience in the area. As much as possible, she has tried to confine her review to tests that are available worldwide. This section of the book has also been updated to include more recent studies and newer tests. The one topic that is missing from it, however, is a discussion of the genetic tests for color vision defects that are being developed. Although the reader might be slightly disappointed that the cases presented at the end of Chapter 7 were not discussed in more detail, the outline of the findings and reports do provide useful models for test strategies and counseling. The chapter on acquired color vision defects is an efficient resource for clinicians because it discusses only the more common defects encountered in practice. The last two chapters on filter aids for color vision defects and occupational standards issues contain major revisions, due to the recent resurgence of color filters as an aid and the antidiscrimination challenges raised by individuals with color vision defects. Although Professor Birch describes color vision standards from throughout the world, her emphasis is on standards found in the United Kingdom. These chapters are important reminders to the reader that management of color vision defects is more than just informing the person that they have a problem. There a few editorial errors that distract from the book’s overall quality. One of the more obvious examples was Professor Birch’s statement that rods have the greatest density 5° from the fovea. Another error was her suggestion that I have evaluated color-filter aids in my work using the Hardy-Rand-Ritter plates when the tests actually involved the Standard Pseudoisochromatic Plates, Parts 1 and 2. There is a substantial amount of new information in this second edition of Diagnosis of Defective Colour Vision; therefore, if you have the first edition and still refer to it, you should consider updating your library. If do not have the first edition and you are thinking about purchasing the second edition, it is important to remember that this book is a practical clinical guide for managing the color-defective patient. As such, it has little value to the researcher who is interested in normal and abnormal color perception. Regardless, this would be a very useful book for optometry students and for clinicians who wish to have a current overview of the area and practical reference in their library.FIGUREFigure

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.058
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0580.047

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 head0.011
GPT teacher head0.344
Teacher spread0.332 · 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

Citations36
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueOptometry and Vision ScienceSame topicOptics and Image AnalysisFrench-language works237,207