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Record W349940604 · doi:10.1177/0145482x0810201107

This Mattered to Me

2008· article· en· W349940604 on OpenAlexaboutno aff
Julie Bernas-Pierce

Bibliographic record

VenueJournal of Visual Impairment & Blindness · 2008
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyGeography

Abstract

fetched live from OpenAlex

Observations on the Habilitation of Children with Cortical Visual Impairment, by Maryke Groenveld, James E. Jan, and Patricia Leader, published in the January 1990 issue of the Journal of Visual & Blindness, Volume 84, pp. 11-15. I was first introduced to the article entitled Observations on the Habilitation of Children with Cortical Visual Impairment as a subscriber to the Journal of Visual & Blindness (JVIB). The content was timely because so many infants with cortical visual impairment (CVI) were being referred to the Blind Babies Foundation and other programs serving children with visual impairments around the United States. This article is important to me because it addresses issues about the nature of the CVI diagnosis and the need for better demographic data on children with CVI, and the authors' findings offer effective intervention strategies. Through his research with children who have CVI, James E. Jan (one of the article's authors) and his team at Children's Hospital in Vancouver, British Columbia, Canada, brought attention to a population whose complex visual and neurological needs are still at issue 18 years after the article was first published. Because of the complex nature and increasing identification of CVI, the content of this article continues to be critically important to personnel preparation, service delivery, and consumer product development in the field of visual impairment today. When Dr. Jan presented the research contained in part in this article at the Blind Babies Foundation in the mid-1990s, he expressed concern about the impact of the needs of children with CVI on personnel and financial resources in western Canada. Today, teachers of students who are visually impaired and other concerned professionals still grapple with their capacity to serve an increasing population of children who have CVI, many of whom have multiple impairments. The article pointed out how little incidence data on CVI was available at the time: There are no accurate trend studies on the prevalence of [CVI] in childhood, but CVI is more common than was formerly believed. With this comment, Dr. Jan and his coauthors planted a seed that, supported by other influences, eventually grew into Babies Count, a U.S. registry of early childhood visual impairment. (Readers may contact American Printing House for the Blind, , to participate in this project.) TERMINOLOGY AND DEFINING A POPULATION In 1990, the authors also put into motion an effort to eliminate use of the term cortical blindness, since children in the study and elsewhere demonstrated gradual increased visual function, which made CVI a more accurate term, especially for parents who were confused by the blindness label when they observed their children using residual vision in daily routines. The term CVI and its definition continue to be a focus of debate in the United States and Europe. Present-day discussions center on the differentiation of the terms cortical versus cerebral and which word is most appropriate for the C in CVI, the use of which can vary by individual, discipline, or geographic region. The article went on to frame the debate over whether CVI ought to include only persons with visual acuity loss or to expand the classification to embrace those with solely visual attention and visual perception problems. …

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)0.004
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0080.009
Open science0.0020.005
Research integrity0.0080.021
Insufficient payload (model declined to judge)0.0470.024

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 head0.031
GPT teacher head0.334
Teacher spread0.304 · 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 designCase report
Domainnot available
GenreEmpirical

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
Published2008
Admission routes1
Has abstractyes

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