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Enregistrement W2012601898 · doi:10.1353/aad.2004.0014

Editorial: The Future of Education of Deaf Children: Implications of Population Projections

2004· editorial· en· W2012601898 sur OpenAlexaboutno aff
Donald F. Moores

Notice bibliographique

RevueAmerican annals of the deaf · 2004
Typeeditorial
Langueen
DomainePsychology
ThématiqueHearing Impairment and Communication
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCensusPopulationDemographyPsychologySociology

Résumé

récupéré en direct d'OpenAlex

EditorialThe Future of Education of Deaf Children: Implications of Population Projections Donald F. Moores The winter 2004 edition of the American Annals of the Deaf carried an article by Trevor Johnston titled "W(h)ither the Deaf Community? Population, Genetics, and the Future of Australian Sign Language." In his analysis of trends involving school enrollment, neonatal screening, and census data in Australia, Johnston concluded that the incidence of severe and profound childhood deafness has been less than traditionally assumed and currently is declining to even lower levels. Many of the issues Johnston raised have been discussed by other authors, but this is the first case to my knowledge where they have been discussed succinctly in a brief article. Starting with a generally accepted assumption in many countries that early childhood deafness occurs in approximately 1 child per 1,000, Johnston reported that most studies have included children with losses ranging from mild to profound, with the majority of cases falling into the mild and moderate categories. For example, he cited the Colorado screening program, which reported that 2.5 children per 1,000 were identified as having a hearing loss, but that only 10% of these children, or 0.25 per 1,000, had a profound loss. Research from Great Britain has reported similar results and Johnston concluded from data in New South Wales that an upper limit of 0.7 per 1,000 would not be surprising for Australia. Johnston attributed the apparent decline to a number of factors, chief of which has been improvements in medical care, with the most striking example being the development of a vaccine to control rubella. The last worldwide rubella epidemic occurred in the mid-1960s. Since then there has been a decline in early childhood deafness caused by nongenetic factors. Other contributors to the decline include cochlear implantation, improved hearing aids, and, looming on the horizon, genetic screening and gene therapy. Since the completion of the Human Genome Project, a number of possibilities have arisen, along with serious moral issues. Most readers probably are familiar with the connexin 26 gene, which apparently accounts for roughly 50% of all heritable deafness. As Johnston reported, the gene can be identified through screening and so parents-to-be can make reproductive decisions based on that information. In fact, in vitro fertilization has been performed so that only a fertilized egg not carrying the connexin 26 gene would be selected and implanted. Johnston concluded that these developments have serious implications for education and for the Australian Deaf community as well as for Australian sign language (Auslan). He reported that many, if not most, young deaf children in the bigger cities in Australia now have [End Page 3] implants and few young deaf children are in sign-based or sign bilingual programs. This has implications for maintaining a minimal linguistic community. A continuing decline in sign-based instruction will lead to smaller numbers of individuals entering the adult deaf community, which already may be in decline. The single largest element of the Deaf community currently is the group between 35 and 45 years of age, illustrating the impact of the last great rubella epidemic. I do not have the background to speak to Johnston's conclusions about the possible fate of Auslan. Given the much larger size of the American population in general and the American deaf population in particular, I do not believe that American Sign Language faces any such danger. However, the population and educational trends in the United States, Canada, and many European countries seem to be similar to those in Australia. I have noted elsewhere that the number of children in programs for deaf and hard of hearing children in the United States has remained constant around 50,000, or even declined, over a 40-year period despite an increase in the general population of 100,000,000. Given a general school age population of roughly 50,000,000, this may seem to fit into the old formula of 1 deaf child per 1,000, but the fact is that now fewer than half of these children have profound hearing losses and the numbers of children who are classified as having mild...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,416
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,374
Écart entre enseignants0,354 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2004
Routes d'admission1
Résumé présentoui

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