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Record W2045378175 · doi:10.3102/0013189x07313156

Pedagogies for the Poor? Realigning Reading Instruction for Low-Income Students With Scientifically Based Reading Research

2007· article· en· W2045378175 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 Researcher · 2007
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhonicsReading (process)Reading comprehensionMathematics educationContext (archaeology)Reading motivationPsychologyLiteracyPedagogyPhonemic awarenessDifferentiated instructionPrimary educationPolitical science

Abstract

fetched live from OpenAlex

In this article, the author argues that there is minimal scientific support for the pedagogical approaches promoted for low-income students in the federal Reading First initiative. In combination with high-stakes testing, the interpretation of the construct systematic phonics instruction in Reading First has resulted in highly teacher-centered and inflexible classroom environments. By privileging these approaches, Reading First ignored the National Reading Panel’s finding that systematic phonics instruction was unrelated to reading comprehension for low-achieving and normally achieving students beyond Grade 1. Also ignored was the significant body of research suggesting that reading engagement is an important predictor of achievement. Alternative evidence-based directions for rebalancing reading instruction for low-income students are suggested in the context of the impending reauthorization of the No Child Left Behind legislation.

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)0.015
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.182
GPT teacher head0.530
Teacher spread0.349 · 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