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Record W4416114582 · doi:10.14507/epaa.33.8702

Literacy principles as a tool for policy analysis: An examination of the values embedded in science of reading advocacy documents

2025· article· W4416114582 on OpenAlexaffabout
Maren Aukerman, R. R. Birch

Bibliographic record

VenueEducation Policy Analysis Archives · 2025
Typearticle
Language
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Calgary
FundersAugsburg University
KeywordsCLARITYLiteracyReading (process)Nature versus nurtureInterdependenceCritical literacyInformation literacy

Abstract

fetched live from OpenAlex

Debates around the Science of Reading have often been couched in consideration of research scholarship. However, before a meaningful dialogue centered on empirical evidence can fruitfully take place, there must be some clarity around shared literacy values, and around how those values might be addressed through instruction. Drawing on internationally accepted definitions and a long tradition of literacy scholarship, we identify a literacy values framework, along with 12 interdependent principles describing what literacy education should nurture and develop: capacity for communication; knowledge and understanding of the world; repertoires of purpose; capacity for understanding text; capacity for text composition; imagination and creativity; empathy; capacity for criticality; multimodal, embodied, and technological capacities; capacity for democratic citizenship; empowering literate identities; and requisite skills. An analysis using these principles was applied to two Science of Reading advocacy documents: The Right to Read report from Canada and The Reading Guarantee from Australia, revealing significant gaps in the types of literacy instruction being addressed and emphasized for literacy teaching and learning.

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 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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0130.010
Science and technology studies0.0010.001
Scholarly communication0.0010.002
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 head0.018
GPT teacher head0.367
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
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

Citations1
Published2025
Admission routes2
Has abstractyes

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