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Record W2902314812 · doi:10.22215/etd/2016-11493

Maternal Sensitivity and Responsiveness: Parent Teaching During Shared Writing Activities and Early Literacy Outcomes

2016· dissertation· en· W2902314812 on OpenAlexaff
Ashley Bildfell

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsLiteracyPsychologyEarly literacyDevelopmental psychologyConsistency (knowledge bases)Observational studyEmergent literacyWord (group theory)PedagogyLinguisticsMedicineComputer science

Abstract

fetched live from OpenAlex

The present observational study examined the roles of maternal sensitivity and responsiveness in relation to child early literacy skills.Mothers and their 3-to 5-year-old children were asked to write together three word pairs.Each word pair contained a common phoneme.In one word, the phoneme was represented by one consistent letter, and in the second word, the phoneme was represented by two letters: one consistent and one inconsistent.Mothers demonstrated sensitivity by adjusting their teaching support for letters that varied in consistency, or difficulty.Further, mothers who taught at a higher level had children with more advanced early literacy knowledge, but no differences were found in parent self-report and observed measures of teaching.Mothers also adjusted their teaching support when their child struggled, or were responsive.However, maternal responsiveness depended on the type of difficulty the child experienced.Finally, the majority of mothers only accepted conventional spellings.

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)0.001
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.328
Teacher spread0.315 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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