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Record W4245928813 · doi:10.1353/clj.2012.0022

Real-World Literacy Activity in Pre-school

2012· article· en· W4245928813 on OpenAlexaff
Jim Anderson, Victoria Purcell‐Gates, Kimberly Lenters, Marianne McTavish

Bibliographic record

VenueCommunity Literacy Journal · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsLiteracyActive listeningReading (process)Norm (philosophy)Mathematics educationPedagogyPsychologyInformation literacySociologyPolitical scienceCommunication

Abstract

fetched live from OpenAlex

In this article, we share real-world literacy activities that we designed and implemented in two early literacy classes for preschoolers from two inner-city neighborhoods that were part of an intergenerational family literacy program, Literacy for Life (LFL). The program was informed by research that shows that young children in high literate homes develop important emergent literacy knowledge by engaging in meaningful and functional activities in their homes and communities that are mediated by print. We defined real-world literacy activity as reading, writing, or listening to real-life texts for real-life purposes. The children made significant gains in literacy knowledge when compared to the norm group. We share examples of how we integrated real-world literacy activities into daily classroom management/organizational routines, whole class and small group instruction, celebrations and special events and how we took advantage of teachable moments to make explicit the purposes and functions of print and texts in developmentally appropriate ways.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.007
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.052
GPT teacher head0.334
Teacher spread0.281 · 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

Citations6
Published2012
Admission routes1
Has abstractyes

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