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Record W3091944495 · doi:10.35632/ajis.v24i4.1528

Conference on Champa 2007

2007· article· en· W3091944495 on OpenAlexaboutno aff
Jay Willoughby

Bibliographic record

VenueAmerican Journal of Islam and Society · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseSociologyGender studiesHistoryLinguistics

Abstract

fetched live from OpenAlex

This first-ever conference convened by the Champa peoples, of whom theCham (both Muslim and non-Muslim) are an important component, focusedon the “Sociocultural Issues of Champa 175 Years after Its Disappearance(1832-2007).” Held on 7-8 July 2007, in San Jose, CA, it was opened byChuck Reed (mayor, San Jose), Musa Porome (chairman, Organizing Committee),Ahmad Yahya (Member of Parliament, Cambodia; founder, RadioSapCham [Voice of the Cham]), and R. Obleo (a representative of theChampa people of the Central Highlands, Vietnam, now living in America).Session One, “Language and Culture,” moderated by Mohammad ZainBin Musa (University Kebangsaan Malaysia), began with Marc Brunelle(University of Ottawa, Canada), who spoke on “Diglossia, Bilingualism,and Literacy: Can Eastern Cham Be Revitalized?” Brunelle, a fluent Chamand Vietnamese speaker, touched upon a core problem; the Cham languagehas not developed enough to accommodate modernity. Thus, the easternCham are generally bilingual, the formal language is limited to importantevents, the spoken language contains many Vietnamese words, regional pronunciationshave appeared, Cham-language written literature is very rare,and the community (traditionally) has opposed the script’s romanization. Hesees two choices to ensure its survival: romanize or simplify the script.David G. Sox (United States Coast Guard Pacific Command, Oakland,CA) presented “Toward a Book/CD-ROM of the Culture and Customs ofAncient Champa and Modern Champa Peoples.” He is seeking the community’sactive participation in documenting Champa’s geography, prehistory ...

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.597
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.001
Scholarly communication0.0070.002
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.5970.302

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 head0.016
GPT teacher head0.303
Teacher spread0.287 · 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.

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
Published2007
Admission routes1
Has abstractyes

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