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Record W2161563658

Constructing Families, Constructing Literacy: A Critical Analysis of Family Literacy Websites

2008· article· en· W2161563658 on OpenAlexaboutno aff
Jim Anderson, Kimberly Lenters, Marianne McTavish

Bibliographic record

Venue˜The œSchool community journal/School community journal · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsFamily literacyLiteracySocioeconomic statusInformation literacyPsychologyEarly literacyDevelopmental psychologyCritical literacySociologyPedagogyPopulationDemography
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to critically examine how family literacy is promoted and represented on websites developed by family literacy program providers. Naturalistic research over the last 20 years or so demonstrates that the family is a rich site for supporting children’s literacy development across socioeconomic and cultural contexts. That research suggests that families engage children in a wide array of literacy activities in their daily lives. Furthermore, significant others, in addition to parents, play important roles in children’s literacy development. In this study, we examined a representative sample of family literacy websites from across Canada. Findings suggest that: family literacy programs tend to focus almost exclusively on young children, families are portrayed narrowly, deficit notions of families are still prevalent, and the prom ises made about the impact of family literacy programs go far beyond what the limited research evidence available suggests.

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)0.012
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.003
Science and technology studies0.0180.022
Scholarly communication0.0110.012
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.062
GPT teacher head0.312
Teacher spread0.250 · 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 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

Citations13
Published2008
Admission routes1
Has abstractyes

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