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Record W1992973006 · doi:10.1177/0265659014536205

Phonological and morphosyntactic intervention for a twin pair

2014· article· en· W1992973006 on OpenAlexaff
Angela Feehan, Charmaine Francis, Barbara May Bernhardt, Paola Colozzo

Bibliographic record

VenueChild Language Teaching and Therapy · 2014
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of British ColumbiaGlenrose Rehabilitation Hospital
Fundersnot available
KeywordsPhonologyIntervention (counseling)LinguisticsPsychologyUnitary stateDomain (mathematical analysis)Developmental psychologyMathematicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Two 6-year-old male fraternal twins each received 8 weeks of morphosyntactic and phonological intervention in counterbalanced order. Progress occurred for most targets and measures, with each child making greater progress for either phonology or morphosyntax during the corresponding unitary-domain block. Gains were maintained during the subsequent alternate treatment block. Possible indirect changes in the non-treated domain were also observed in global measures. The data suggest that at least some school-aged children with concomitant difficulties in morphosyntax and phonology, perhaps those with significant constraints in each domain, can benefit from sequences of unitary-domain intervention. This study invites further research concerning many unresolved clinical issues for school-aged children with protracted development in both phonology and morphosyntax.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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 designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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