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Record W4400281106 · doi:10.20360/langandlit29743

It takes a village

2024· article· en· W4400281106 on OpenAlexaffvenueabout
Sylvia Chanda Kalindi, Susan Brigham, George Frempong

Bibliographic record

VenueLanguage and Literacy · 2024
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsLiteracyFocus groupGovernment (linguistics)White (mutation)Nova scotiaPsychologyPedagogyDevelopmental psychologySociologyLinguisticsAnthropologyEthnology

Abstract

fetched live from OpenAlex

Several stakeholders, such as community groups, government officials, parents, guardians, and educators have shown concern about the achievement gap between Nova Scotia learners of African descent and their predominantly White peers. Using the African proverb ‘It takes a village’ as a framework, this study involved parents, extended family members and caregivers of children aged 4 to 6 years to explore the scaffolding strategies employed as well as the experiences of participants when supporting children’s emergent writing skills during COVID-19 pandemic. Survey and focus group sessions demonstrated how participants frequently scaffolded emergent writing using highly effective strategies including Africentric approaches. The importance of ‘It takes a village’ proverb in enhancing literacy developmenthas also been established.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.320
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes3
Has abstractyes

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