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Record W3164301095 · doi:10.1016/j.ijedro.2021.100052

Protocol: A randomized controlled trial of the Fluency into Comprehension program in primary schools

2021· article· en· W3164301095 on OpenAlexfundno aff
Maria Cockerill, Allen Thurston, Joanne O’Keeffe, Andy Taylor

Bibliographic record

VenueInternational Journal of Educational Research Open · 2021
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
FundersEconomic and Social Research CouncilQueen's University
KeywordsFluencyProtocol (science)Randomized controlled trialFidelityDisadvantageComprehensionPsychologyReading (process)Reading comprehensionMedical educationComputer scienceMathematics educationMedicineArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents the research protocol for a Phase 2 randomized controlled trial of the Fluency into Comprehension program in primary schools. The program is a workforce development program that supports teachers and teaching assistants develop and deliver targeted reading fluency and comprehension instruction to children aged 7–9. The protocol outlines a research design to assess whether the program delivered over approximately 12 weeks improves reading outcomes, in a sample of up to 192 children from 12 schools in four English districts with high socio-economic disadvantage. The outcome measures are two reading standardized tests. A process evaluation will measure fidelity and potential for scale-up.

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)0.030
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.100
Threshold uncertainty score0.335

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.031
Meta-epidemiology (narrow)0.0080.005
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0030.003
Science and technology studies0.0050.004
Scholarly communication0.0040.005
Open science0.0040.003
Research integrity0.0120.011
Insufficient payload (model declined to judge)0.1000.013

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 head0.087
GPT teacher head0.527
Teacher spread0.441 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations1
Published2021
Admission routes1
Has abstractyes

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