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Record W4396845318 · doi:10.5206/eei.v34i1.16932

Inclusive Change in Saint Vincent and the Grenadines: A Collaborative Autoethnography

2024· article· en· W4396845318 on OpenAlexaffvenue
Monique Somma, John Freer, Margo Allison Shuttleworth, Sheila Bennett

Bibliographic record

VenueExceptionality Education International · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of WindsorSt. Clair CollegeBrock University
Fundersnot available
KeywordsAutoethnographySociologySAINTPedagogyPsychologyGender studiesHistoryArt history

Abstract

fetched live from OpenAlex

In many countries, including those in the Caribbean, there has recently been an increasing demand for professional development on inclusive educational practices This need for high-quality professional development is in line with the United Nations Educational, Scientific and Cultural Organization’s (2016) call for inclusion of all children by 2030. Recently, our team was asked to provide professional development to educators in Saint Vincent and the Grenadines that focused on evidence-based practices for students with special education needs. Over the course of 3 years, this service work evolved into a multi-faceted pilot of inclusive education, whereby students with special education needs transitioned from a segregated school into mainstream schools. In this article, we present a collaborative autoethnography that highlights our collective experiences. Our self‑reflections chronicle our experiences and accompanying perceptions gained through providing support and education to educators, students, schools, community, and families in Saint Vincent and the Grenadines over a 3-year period, as they prepared for this transition to inclusion. In collectively reviewing our self-reflections, we discovered three major themes at the heart of our service work: (a) “barriers to inclusion,” (b) “the importance of relationships,” and (c) “transformation.” In discussing these three themes, we explore the successes and challenges we experienced throughout these service projects. What follows is a discussion of our reflective musings related to these experiences as shared critical knowledge for sustainable inclusion work within the Caribbean and beyond.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.983

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.359
Teacher spread0.340 · 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 designTheoretical or conceptual
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 routes2
Has abstractyes

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