MétaCan
Menu
Back to cohort
Record W4284893669 · doi:10.15273/jue.v12i2.11411

The Key to Translation: An Examination of Children’s Human Rights Under Government Care and Protection in Manchester and Santa Cruz, Jamaica

2022· article· en· W4284893669 on OpenAlexvenueno aff
Damilola Fakunle

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyHuman rightsGovernment (linguistics)Convention on the Rights of the ChildConventionEthnographyChild protectionPolitical scienceFundamental rightsPublic administrationSociologyPublic relationsLawEconomic growthEconomics

Abstract

fetched live from OpenAlex

According to the Care and Protection Act of Jamaica (2004), protection and provisional rights have historically taken precedence over the participation rights of children – that is, the right to freely express views and maintain a voice in decisions that affect them. To fulfill the participation rights of children, as outlined by the United Nations Convention on the Rights of the Child (CRC), government organizations are encouraged to develop practices that optimize the individual freedom, autonomy, and views of children. I conducted an ethnographic study of the practices used to address the human rights and social needs of abused and neglected children placed under government care and protection in Manchester, Jamaica. My ethnographic research reveals how government staff and caretakers prioritized children’s participation rights, giving them input into their standard of care. As such, it illustrates the process of “vernacularization,” which refers to the translation of global human rights ideas to socially relevant norms in communities.

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)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.574

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0160.015
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.003
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 head0.046
GPT teacher head0.325
Teacher spread0.279 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal for Undergraduate EthnographySame topicChildren's Rights and ParticipationFrench-language works237,207