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Record W4241497572 · doi:10.15353/cjo.77.511

Letters to the editor

2019· article· en· W4241497572 on OpenAlexvenueaboutno aff
Charles A Boulet, Amélie Ganivet, Ida Chung, Julien Goyard Ruel

Bibliographic record

VenueCanadian Journal of Optometry · 2019
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

In Volume 6, Issue 2 of the Canadian Journal of Optometry, your editorial refers to the practice of optometry as a diverse profession, managing a wide variety of conditions for our patients, calling upon broad knowledge to understand how to accomplish this.Just a few pages later, one article in particular seems to go far afield professionally in order to justify how optometrists should do just the opposite: Limit diversity in practice, manage a narrower variety of concerns, and forget their extensive knowledge and experience in doing so.the title of the article in question itself asks the question of whether there is evidence to support use of vision therapy (Optometric Vision therapy, 'OVt', or simply, 'Vt') for Ld.See: CJO Vol 6, Issue 2, "diverses modalities de traitement des troubles d'apprentissage scolaire par therapies visuelles: quelles sont les evidence scientifiques?".The title immediately identifies the bias of the authors, but also points to a lack of specific knowledge: Any doctor who has undertaken training vision rehabilitation through any of the behavioural schools in the united States, or through COVd, OeP, or NORA would never ask the question of 'if' there is evidence, and would sooner engage in discussion around the evidence itself, and how to best implement this in practice.Modern optometric vision rehabilitation has advanced treatment of amblyopia, strabismus, and reaches beyond this to include the care of tBI, child development, and learning concerns.'VT' is not simply eye exercises, lenses and filters, as the authors seem to suggestevidence that we are not discussing the same topic.More concerning is the professional bias in this purported research piece.there is a longstanding push on the part of some professionals to marginalize optometric vision rehabilitation, 'VT', as 'unscientific' or not based in 'evidence' -a somewhat less provocative turn of phrase than 'quackery'.this is presumably in order to protect the public against unscrupulous doctors who make irrational promises regarding children's vision and then never deliver on the results.Similar concerns can be raised about virtually every profession of healthcare, psychology, and education, but for some reason there is a need to level doubt at a noble profession.OVt, not publicly funded, will always remain at the mercy of the unlimited funding of medicine, so the bias matters.Among the obvious responses to such a paper is that some patients will be discouraged from seeking what is often the only treatment that will help.OVt has an important role to play in child development and learning disorders, yet the article summarily and somewhat condescendingly dismisses it: this is evidenced through marginalising remarks like 'Ld' "are complex problems, sadly with no simple solutions" -impugning the OVt view of Ld is a 'simple solution'.Also, if there is truly no evidence of efficacy, what then are we to conclude of those who profess otherwise and continue to practice in this domain?It is precisely this misunderstanding of the profession that leads me to question the frame of reference and goals of those who seek to disparage OVt in the treatment of learning disabilities.the proof is there: Stating there is no evidence only exposes a lack of relevant knowledge and training in the area of primary concern.Academic honesty also requires the full light of scrutiny, and there is in this case no possibility for scrutiny other than of those who have promoted this paper to publication because of language of publication.Also, the authors speak from an academic perspective, where anything can be justified by means of selective citation.I have therefore translated the article to allow my english-speaking VtOd colleagues from around the world to also respond.My primary goal is to invite dialog: Clearly there is an important gap in understanding, and bias in care delivery that needs to be addressed urgently -Ignoring Vt is costly.

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 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 score0.079
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.105
GPT teacher head0.483
Teacher spread0.378 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes2
Has abstractyes

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