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Record W3120313036 · doi:10.5206/eei.v30i3.13510

An Examination of Inclusive Practices for Students with Learning Disabilities in Botswana: A Literature Review

2020· review· en· W3120313036 on OpenAlexvenueno aff
Samantha Mrstik, Lisa Dieker, C.O. Abosi

Bibliographic record

VenueExceptionality Education International · 2020
Typereview
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsInclusion (mineral)Political scienceSpecial educationCoping (psychology)Economic growthPedagogySociologyPublic administrationPsychologySocial scienceLaw

Abstract

fetched live from OpenAlex

The country of Botswana has passed laws to support the human rights of their citizens, including people with learning disabilities. In accordance with the United Nations’ guidelines, Botswana’s human rights initiatives, and the international movement toward inclusive education, inclusive educational reform is taking place. We have conducted a comprehensive literature review, the purpose of which was to establish the progress Botswana has made in special education policy, implementation of policy into schools, and the strides made toward inclusion. However, there are still many struggles comparable to many school systems in African nations. Key findings include a nation with significant developments in human rights which includes a developing inclusive education system with both policy and implementation, yet, still coping with the growing pains of a young special education program.

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)0.003
metaresearch head score (Gemma)0.010
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: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0110.013
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.519
Teacher spread0.463 · 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
GenreReview

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

Citations2
Published2020
Admission routes1
Has abstractyes

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