MétaCan
Menu
Back to cohort
Record W4388999171 · doi:10.1177/00224871231211266

Family Perspectives of University Reading Clinic/Literacy Lab Experiences: What Matters

2023· article· en· W4388999171 on OpenAlexaffabout
Theresa Deeney, Cheryl Dozier, Barbara Laster, Tiffany L. Gallagher, Rachael Waller, Joan A. Rhodes, Tammy Milby, Debra Gurvitz, Mary Hoch, Leslie M. Cavendish, Shelly Huggins, Shadrack Gabriel Msengi, Stephanie L. McAndrews, Erika S. Gray, Ryan McCarty, P. Ferrara

Bibliographic record

VenueJournal of Teacher Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsBrock University
Fundersnot available
KeywordsLiteracyReading (process)Family literacyPedagogyPsychologyTeacher preparationMedical educationTeacher educationMathematics educationMedicinePolitical science

Abstract

fetched live from OpenAlex

Family partnerships should be a central component of teacher preparation. Although research provides family engagement strategies, little research offers teacher educators guidance from the perspectives of families themselves. The purpose of this convergent mixed-method study was to begin to fill the void in the literature by investigating family perspectives of theirs and their children’s experience in 10 reading clinic/literacy lab literacy specialist preparation programs across the United States and Canada. Through analysis of survey ratings ( N = 132) and responses to structured interviews to ( N = 84), this study found that families valued clinic/lab tutors building relationships with them, responding to their children’s strengths and needs, promoting self-efficacy, and working together as partners. Methods used in this study can provide a useful model for how teacher educators can intentionally seek input from families. Findings have implications for teacher educators advocating for and centering family engagement in teacher preparation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.032
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.407
Teacher spread0.342 · 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 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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Teacher EducationSame topicParental Involvement in EducationFrench-language works237,207