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Representing and Promoting Family Literacy on the World Wide Web: A Critical Analysis

2007· article· en· W147658926 on OpenAlexaffvenueabout
Jim Anderson, Jodi Streelasky, Terri Anderson

Bibliographic record

VenueAlberta Journal of Educational Research · 2007
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsNSCAD University
Fundersnot available
KeywordsLiteracyFamily literacyCritical literacyPsychologyAdult literacySociologyPedagogy

Abstract

fetched live from OpenAlex

The purpose of this study was to examine critically how family literacy is promoted and represented through the images and written texts on Web sites developed by providers of family literacy programs. 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. This research suggests that families engage children in a wide array of literacy activities in their daily experience. Furthermore, many 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 Web sites from across Canada. Findings suggest that literacy tends to be narrowly defined; responsibility for children’s literacy is usually ascribed to mothers; and troubling assumptions about families as being deficient still persist.

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)0.015
metaresearch head score (Gemma)0.023
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 score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.002
Science and technology studies0.0130.018
Scholarly communication0.0080.008
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.099
GPT teacher head0.446
Teacher spread0.347 · 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
Published2007
Admission routes3
Has abstractyes

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