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Record W4385423133 · doi:10.1111/1467-8578.12468

Home‐schooling in the Republic of Ireland

2023· article· en· W4385423133 on OpenAlexaboutno aff
Joanne Banks, Chris Forlin, Dianne Chambers

Bibliographic record

VenueBritish Journal of Special Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityIrishMainstreamContext (archaeology)Home educationThe RepublicPandemicEconomic growthQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)Home schoolPolitical scienceSociologyPedagogyGeographyMedicineLawEconomics

Abstract

fetched live from OpenAlex

Abstract Internationally, there continues to be a rise in the popularity of home‐schooling. Although the growth in the numbers of families choosing this alternative approach was evident prior to the Covid‐19 Pandemic school closures, it appears to have impacted on the decision for some to home‐school permanently. Using a scoping review of the literature, this paper considers the research evidence around home‐schooling in the United Kingdom and Europe. It then focuses on home‐schooling in the Republic of Ireland to assess the change and development of home‐schooling over time. In line with trends internationally, Irish administrative data show an increase in the numbers of families engaging in home‐schooling in recent years, particularly for students with disabilities. The paper situates these findings within the context of ongoing debates on inclusive and special education in Ireland and the capacity of mainstream schools to educate and include every student.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.322
Teacher spread0.297 · 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 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

Citations9
Published2023
Admission routes1
Has abstractyes

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