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Record W3205059467 · doi:10.60059/spl.2021.1.18-37

Ранна диагностика на детското езиково развитие и превенция на нарушенията на писмения език

2025· article· bg· W3205059467 on OpenAlexaboutno aff
Теодора Яръмова, Цветанка Ценова

Bibliographic record

VenueСпециална педагогика и логопедия · 2025
Typearticle
Languagebg
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Със статията се прави опит за обобщение на резултати от изследване, които сочат възможността ненормативните прояви във функционирането на устния език в горна предучилищна възраст да са надежден предиктор с прогностична стойност за бъдещи затруднения в овладяването на писмения език. Проучване на устния език на 100 деца във възрастта 6-7 години показва водещата предикативна роля на експресивния езиков дефицит. Проспективната оценка на езиковото развитие и разпознаването още в предучилищна възраст на предикторите, сочещи бъдещи затруднения при ограмотяване, са необходими условия за превенция, своевременна терапия и намаляване проявите на специфичните нарушения на писмения език и ученето. Библиография: Атанасова-Трифонова, М., Атанасов, Д., Пенева, Л., Андонова, Е., Мутафчиева, М., Колчева, Н. (2014). Скрининг тест за тригодишни деца. Ръководство. София: Булвест 2000. Тодорова, Е. (2005). Диагностика на езиков дефицит при дислексия, част I. София: Логопедичен център Ромел. Тодорова, Е. (2013). Дислексия. https://www.facebook.com/dyslexia.kids/posts/2077721382263637. Тодорова, Е. (2016). Дислексия: Специфични нарушения на способността за учене. София: УИ Нов български университет. Ценова, Ц. (2011). Норми за правилно писане и скрининг на признаци за дислексия при учениците от ІІ, ІІІ и ІV клас – Дисертационен труд. Софийски Университет „Св. Климент Охридски“(България). http://digilib.nalis.bg/xmlui/handle/nls/2842. Ценова, Ц. (2019). Логопедия: Описание, диагностика и терапия на комуникативните нарушения. София: УИ „Св. Климент Охридски“. Ценова, Ц. (2020а). Дискусионни аспекти на взаимовръзката между нарушенията на устния и на писмения език. Специална педагогика и логопедия, 1(2020), 61-74. Ценова, Ц. (2020b). Предиктори за дислексия на развитието. Годишник на СУ, ФНОИ, том 113, ред. Коларова, Ц. и кол., София: УИ „Св. Климент Охридски”, (под печат). Якимова, Р. (2009). Нарушения на писмената реч: Практическо ръководство за корекция (2-ро издание). София: Логопедичен център Ромел. Aaron, P. (1991). Can reading disabilities be diagnosed without using intelligence tests? Journal of Learning Disabilities, 24(3), 178-186, 191. Adlof, S., Hogan, T. (2018). Understanding Dyslexia in the Context of Developmental Language Disorders. Language, Speech, and Hearing Services in Schools, 49(4), 762-73. Boets, B., Op de Beeck, H., Vandermosten, M., Scott, S., Gillebert, C., Mantini, D. & Ghesquiеre, P. (2013). Intact but less accessible phonetic representations in adults with dyslexia. Science, 342(6163), 1251-1254. doi: 10.1126/science.1244333 Carroll, J., Mundy, I., & Cunningham, A. (2014). The roles of family history of dyslexia, language, speech production and phonological processing in predicting literacy progress. Developmental Science, 17(5), 727-742. doi: 10.1126/science.1244333 Deacon, S., Parrila, R., & Kirby, J. (2008). A review of the evidence on morphological processing in dyslexics and poor readers: A strength or weakness? In G. Reid, A. Fawceti, F. Manis, L. Siegel (Eds.), The Sage handbook of dyslexia (pp. 212-237). London: Sage. Denckla, M. (1972). Clinical syndromes in learning disabilities: The case for "splitting" vs. "lumping". Journal of Learning Disabilities, 5(7), 401-406. Deuster, D., Zehnhoff-Dinnesen, A., Schmidt, C.-M., Matulat, P., Huebner, J., Reichmuth, K., Fiori. A., & Knief, A. (2008). Development and evaluation of the new module ‘communication disorders’ in medical education. Journal Medical Teacher, 30(8), e225-e231. https://www.tandfonline.com/doi/pdf/10.1080/01421590802216225 DSM-V. (2013). Diagnostic and Statistical Manual of Mental Disorders – 5th Edition. Washington, DC: American Psychiatric Association. https://books.google.bg/books?hl=bg&lr=&id=-JivBAAAQBAJ&oi=fnd&pg=PT18&ots=ceWK-7JKvd&sig=arYpqTLny50TDal-fLJnN68aci8&redir_esc=y#v=onepage&q&f=false Duff, F., Reen, G., Plunkett, K., & Nation, K. (2015). Do infant vocabulary skills predict school-age language and literacy outcomes? Journal of Child Psychology and Psychiatry, 56(8), 848-56. https://acamh.onlinelibrary.wiley.com/doi/epdf/10.1111/jcpp.12378 Hessler, G. L. (2001). Who is really learning disabled? In R. Sornson & B. Sornson (Ed.), Preventing early learning failure (pp. 21-36). Virginia USA: ASCD Alexandria. ICD-10. (2008). International Statistical Classification of Diseases and Related Health Problems – 10th Revision, Version: 2019. Geneva: World Health Organization. https://icd.who.int/en Gathercole, S., Alloway, T., Willis, C., & Adams, A.-M. (2006). Working memory in children with reading disabilities. Journal of Experimental Child Psychology, 93(3), 265-281. https://dspace.stir.ac.uk/bitstream/1893/799/1/GathercoleJECP.pdf Loukusa, S., Makinen, L., Kuusikko-Gauffin, S., Ebeling, H., Moilanen, I. (2014). Theory of mind and emotion recognition skills in children with specific language impairment, autism spectrum disorder and typical development: group differences and connection to knowledge of grammatical morphology, word-finding abilities and verbal working memory. International Journal of Language and Communication Disorders, 49(4), 498-507, doi: 10.1111/1460-6984.12091 Lovett, M., Frijters, J., Wolf, M., Steinbach, K., Sevcik, R., & Morris, R. (2017). Early intervention for children at risk for reading disabilities: The impact of grade at intervention and individual differences on intervention outcomes. Journal of Educational Psychology, 109(7), 889-914. doi: 10.1037/edu0000181 Lyytinen, H., Erskine, J., Hamalainen, J., Torppa, M., & Ronimus, M. (2015). Dyslexia – Early Identification and Prevention: Highlights from the Jyvaskyla Longitudinal Study of Dyslexia. Journal Current Developmental Disorders Reports, 2(4), 330-338. doi: 10.1007/s40474-015-0067-1 Miles, T. (1983). Dyslexia. Springfield, Illinois: Charles C. Thomas Publishers. Olson, R. (2002). Dyslexia: nature and nurture. Dyslexia, 8(3), 143-159. doi: 10.1002/dys.228 Pennington, B. (2006). From single to multiple deficit models of developmental disorders. Cognition, 101(2), 385-413. doi: 10.1016/j.cognition.2006.04.008 Rutter, M., Caspi, A., Fergusson, D., Horwood, L., Goodman, R., Maughan, B., Moffitt, T., Meltzer, H., & Carroll, J. (2004). Sex differences in developmental reading disability: new findings from 4 epidemiological studies. Journal оf the American Medical Association, 291(16), 2007-2012. doi: 10.1001/jama.291.16.2007 Scarborough, H. (1990). Very early language deficits in dyslexic children. Child Development, 61(6), 1728-1743. doi: 10.1111/j.1467-8624.1990.tb03562.x Scarborough, H. (2005). Developmental Relationship Between Language and Reading: Reconciling a Beautifil Hypothesis With Some Ugly Facts. In H. Catts & A. Kamhi (Eds.), The Conection Between Language And Reading Disabilities (pp. 3-22). New Jersey, London: Lawrence Erlbaum Associates Publishers. Schumacher, J., Hoffmann, P., Schmаl, C., Schulte‐Kоrne, G., & Nоthen, M. (2007). Genetics of dyslexia: the evolving landscape. Journal of Medical Genetics, 44(5), 289-297. Scott, C., & Windsor, J. (2000). General language performance measures in spoken and written narrative and expository discourse of school-age children with language learning disabilities. Journal of Speech, Language, and Hearing Research, 43(2), 324-339, doi: 10.1044/jslhr.4302.324 Storch, S., Whitehurst, G. (2002). Oral language and code-related precursors to reading: Evidence from a longitudinal structural model. Developmental Psychology, 38(6), 934-47. Teale, W. & Sulzby, E. (Eds.) (1986). Emergent literacy: Writing and reading. N Jersey: Ablex. Thompson, P., Hulme, C., Nash, H., Hayiou-Thomas, E. & Snowling, M. (2015). Developmental dyslexia: predicting individual risk. Journal of Child Psychology and Psychiatry, 56(9), 976-987, doi: 10.1111/jcpp.12412 Timler, G., Vogler-Elias, D., McGill, K. (2007). Strategies for Promoting Generalization of Social Communication Skills in Preschoolers and School-aged Children. Topics in Language Disorders, 27(2), 167-181, doi: 10.1097/01.TLD.0000269931.18881.90 Townend, J. & Turner, M. (Eds) (1999). Dyslexia in Practice: A Guide for Teachers. New York: Kluwer Academic/Plenum Publishers. Troia, G. (2011). How Might Pragmatic Language Skills Affect the Written Expression of Students with Language Learning Disabilities? Topics in Language Disorders, 31(1), 40-53, doi: 10.1097/TLD.0b013e31820a0b71 Wanzek, J., & Vaughn, S. (2007). Research-based implications from extensive early reading interventions. School Psychology Review, 36(4), 541-561.

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)0.002
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0040.006
Scholarly communication0.0110.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0410.017

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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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
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".

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Citations0
Published2025
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