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Record W7008180666

Book review: Building Filipino Hawaiʻi

2016· article· en· W7008180666 on OpenAlexaboutno aff

Bibliographic record

VenueeVols (University of Hawaii) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsCenter (category theory)InsiderMetropolitan areaCultural centerImmigrationCommunity center
DOInot available

Abstract

fetched live from OpenAlex

The Filipino Community Center (FilCom Center) in Waipahu, Hawai'i is the largest community project brought to fruition by Filipinos in the United States.It is surprising that a community center of this size was constructed in Hawai'i, a society with a long history and background of plantation labor and working-class demographics.The largest Filipino center in America was constructed in Hawai'i, instead of the "Mainland," where the socio-economic resources of Filipinos in the San Francisco Bay area, Los Angeles-Long Beach metropolitan area, San Diego area, Seattle and King County, Chicago, and New York/New Jersey area are at a much higher income level.At first glance, Labrador's Building Filipino Hawai'i is about the FilCom Center and its central role as an "overlapping architecture" in the redefining of the identity of the Filipinos in Hawai'i.The Center symbolizes the transition of Filipinos from being immigrant sakadas (plantation workers) to legitimized and insider "Locals" in Hawai'i.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.166
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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 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
Published2016
Admission routes1
Has abstractyes

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