MétaCan
Menu
Back to cohort
Record W2102132745 · doi:10.1080/02568540809594651

Literacy Instruction in Canadian Child Care Centers

2008· article· en· W2102132745 on OpenAlexaffabout
Michal Perlman, Brooke Fletcher

Bibliographic record

VenueJournal of Research in Childhood Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyLiteracyReading (process)Mathematics educationDevelopmental psychologyPedagogyLinguistics

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to describe literacy instruction in child care centers, examine aspects of child care center quality that may predict such instruction, and provide a limited analysis of whether literacy instruction impacts children's concurrent pre-academic functioning. Staff and children in 103 classrooms serving preschool-age children from 64 child care centers in a major Canadian city participated in the study. Literacy instruction was captured using a series of 20-second, time-sampled observations over the course of one morning. The following types of literacy instruction were examined and are reported as a percentage of the snapshots in which they were observed: Reading Aloud, 2.8%; Word Instruction, 1.2%; Letter Identification, 1.2%; Printing/Writing, 0.7%; Symbol Recognition, 0.5%; Letter-Word Sounds, 0.2%; and Word Segmentation, 0%. Hierarchical linear models revealed that literacy instruction is a staff, rather than classroom or center, characteristic. Overall, literacy instruction occurred infrequently in child care classrooms. Indicators of quality were not found to drive literacy instruction, and literacy instruction did not predict greater verbal intelligence scores among children. Implications for research and practice are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.401
Teacher spread0.367 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Research in Childhood EducationSame topicEarly Childhood Education and DevelopmentFrench-language works237,207