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Record W4391436567 · doi:10.18432/ari29756

Tongan Crip Gang

2024· article· en· W4391436567 on OpenAlexvenueno aff
‘Esiteli Hafoka

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

This article is an articulation of Tongan angafakafonua (way of the land, culture)as Tongan identity and its (re)makings through religion and gangs in the United States. Based on a section of my doctoral thesis, I examine the influence of the Mormon Church on Racketeer Influenced and Corrupt Organizations (RICO) Act charges.1 This article acknowledges that legislators, driven by their Mormon religio-racial ideology, interpreted the legislation in an exclusive manner. They took liberties to explicitly exclude first-generation Tongan Americans based on their preference for street gangs rather than the fraternal organizations associated with the Church. During the period between the settlement of Utah and the RICO trial of Siale Angilau, American-born Tongans of the first generation modified angafakafonua to address the needs of a growing Tongan community in the United States. In the later years of this transitional period, second-Generation Tongan Americans utilized angafakafonua to counteract excessive surveillance by gang task forces, racial profiling, and discriminatory practices employed by the state.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.001
Scholarly communication0.0020.001
Open science0.0000.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.125
GPT teacher head0.502
Teacher spread0.377 · 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
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
Published2024
Admission routes1
Has abstractyes

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