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Record W1993632479 · doi:10.1080/0013188042000337550

Learning support assistants can deliver effective reading interventions for ‘at-risk’ children

2005· article· en· W1993632479 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducational Research · 2005
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsRhymeSpellingPhonological awarenessLiteracyReading (process)Psychological interventionPsychologyIntervention (counseling)Phonemic awarenessMedical educationPhonicsMedicinePedagogyPrimary educationLinguistics

Abstract

fetched live from OpenAlex

Evidence suggests that phonic interventions delivered by trained researchers improve early reading and spelling. This study sought to explore whether school Learning Support Assistants (LSAs) can also improve performance using these methods. Four groups (each of n = 27) of the poorest reading 6-year-old children in nine schools were screened and selected for this study. LSAs were briefly trained to administer phonic programmes as small group interventions for nine weeks. Rhyme- and phoneme-based programmes were also contrasted with controls receiving the National Literacy Strategy. At post-test, all intervention group children were better decoders, and had better phonological awareness and letter – sound knowledge than controls. The phoneme-based group had better letter – sound knowledge than the other intervention groups. It is concluded that trained Learning Support Assistants can deliver effective early preventive programmes for literacy difficulties.

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.

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)0.002
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.085
GPT teacher head0.481
Teacher spread0.397 · 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