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Record W3118069933

National Debt and Public Education in Jamaica: "Glocal" Challenges and Responses

2020· dissertation· en· W3118069933 on OpenAlexaboutno aff
Giselle Thompson

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
Fundersnot available
KeywordsGlocalizationDebtPolitical scienceDevelopment economicsEconomicsGlobalizationMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

This dissertation is a transnational case study, designed to capture how structural adjustment and austerity have affected public primary schooling in Jamaica, and the response(s) of alumni associations in the Torontonian-Jamaican Diaspora to this phenomenon. Using ethnography, auto-ethnography and semi-structured interviewing qualitative methodologies, data were collected in a rural primary school in Hanover, Jamaica in order to ascertain the everyday experience narrative of structural adjustment. Subsequently, semi-structured interviews were conducted in the Greater Toronto Area in order to determine how and why members of the schools alumni association support the school through group educational remittances. Framed by an anti-colonial discursive framework, this study explicates the transnational-diasporic nature of public schooling and draws attention to the Government of Jamaicas inability to provide an adequate and appropriate public school program, as well as its controversial tendency to claw back funding from schools who have active alumni associations abroad. This dissertation also provides a window into the efficacy/inefficacy of non-financial educational remittances which, although well-intended, are, sometimes, more harmful than helpful to their recipients. In contrast to this, the everyday tenacious hope that exists at the poorly resourced primary school that was selected for this study is illuminated.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.950
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
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.218
Teacher spread0.194 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueYork University Digital Library (York University)Same topicCaribbean history, culture, and politicsFrench-language works237,207