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Record W1530605500 · doi:10.25071/1920-7336.21340

Identity, Ethnicity and School Experiences: Relocated Montserratian Students in British Schools

2006· article· en· W1530605500 on OpenAlexvenueno aff
Gertrude Shotte

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupIdentity (music)MoresSociologyGender studiesCurriculumColonialismRelation (database)PedagogyPolitical scienceAnthropologyLawPoliticsAesthetics

Abstract

fetched live from OpenAlex

This paper explores the issues of identity and ethnicity that confront relocated Montserratian students in British schools. It begins with a brief historical review of the ongoing volcanic crisis, then explains the circumstances within which the issues are framed. The paper argues that the merging of “old” and “new” forms of identity and ethnicity has affected relocated students’ aspirations in various ways. Montserrat’s education system evolved out of a colonial British-based curriculum that encouraged particular morals, which are not apparent in the British school system. These values remain an integral part of the Montserrat mores and thus are recognized as central to the island identity. In adjusting to their new cultural environment, relocated students have donned new identities that have inevitably clashed with traditional norms. This paper therefore explains how they have negotiated their ethnic/racial identities in relation to school and home, and how they have crafted new identities, while at the same time trying to maintain a desired level of “Montserratness.” The assessment and inferences made in this paper are based on formal and informal research conducted with relocated Montserratians, particularly students and their parents/guardians, in different regions, but the main location is London.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.329
Teacher spread0.314 · 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 designObservational
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

Citations4
Published2006
Admission routes1
Has abstractyes

Explore more

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