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Record W2119890165 · doi:10.1076/neur.9.6.515.29377

Impact of Temporal Lobe Epilepsy on Phonological Processing and Reading: A Case Study of Identical Twins

2003· article· en· W2119890165 on OpenAlexafffund
Catherine Vanasse, Renée Béland, Isabelle Jambaqué, K. Lavoie, Maryse Lassonde

Bibliographic record

VenueNeurocase · 2003
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversité de Montréal
FundersSavoy FoundationEpilepsy Foundation
KeywordsRhymePsychologyReading (process)Temporal lobeSyllabic versePhonological awarenessAudiologyEpilepsyRepetition (rhetorical device)Developmental psychologyVocabularyCognitive psychologyNeuroscienceLinguisticsMedicine

Abstract

fetched live from OpenAlex

In order to evaluate the possible consequences of temporal lobe epilepsy on reading acquisition, we first compared the reading skills and phonological awareness abilities in a set of 13-year-old identical twins, one of whom is affected by temporal lobe epilepsy (LB). We then compared their performances to those of an age- and IQ-matched control group. Both siblings have an intellectual quotient above average as well as normal memory and linguistic abilities. Results showed that the reading age of LB (assessed by the Lefabvrais French reading test) was more than two years behind expectations whereas that of her sister was above average. Further, in contrast to her sister and healthy control subjects, LB exhibited specific deficits in elaborate metaphonological awareness abilities (non-word repetition, rhyme production, phonemic segmentation and syllabic inversion). These could be linked to temporal lobe dysfunction, thus confirming the important role of the temporal lobes in reading acquisition.

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)0.006
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.371
Teacher spread0.323 · 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

Citations10
Published2003
Admission routes2
Has abstractyes

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