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Record W3135671741 · doi:10.29173/iasl7468

The School Library as a Bridge to Literacy: A Garden of Words

2021· article· en· W3135671741 on OpenAlexvenueno aff
Yvonne Perriel

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)LiteracyPsychologyMathematics educationDescriptive statisticsBridge (graph theory)Grade levelDevelopmental psychologyMedical educationPedagogyMedicineMathematicsStatistics

Abstract

fetched live from OpenAlex

Administrators and teachers have the expertise to utilize theoretical and practical experiences in dealing with students but are unaware of the vital role of parental involvement in students’ academic achievement. The purpose of this research was to explore whether the impact of the implementation of a literacy garden could improve reading level of fourth grade boys at Northside All Age School. Data was obtained using the quasi experimental design. Fifty-three students from two classes grade four at Northside All Age were used. The study was done after a survey was conducted among children in grade four. Data were analyzed using charts and descriptive statistics. . Some of the findings revealed that the implementation of literacy garden has a positive effect of literacy at grade four. The reading level of the boys increases as their self-esteem increases. It was recommended, based on the findings that parents should be more involved in their child’s life at school. That both teachers and parents should motivate slow readers and also that teachers use teaching strategies that will help children who are slow readers.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.006
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.024
GPT teacher head0.315
Teacher spread0.291 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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