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Record W4408501059 · doi:10.1017/s1557466018014183

General! A poem of solidarity from Timor-Leste for human rights struggles in Indonesia

2018· article· en· W4408501059 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJapan focus · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsArbutus Biopharma (Canada)
Fundersnot available
KeywordsTimor lesteSolidarityHuman rightsPoetryPolitical scienceGender studiesDevelopment economicsSocioeconomicsSociologyLawEconomicsArtLiteraturePolitics

Abstract

fetched live from OpenAlex

“When journalism is silent, literature must speak,” in the words of Indonesian writer Seno Gumira Ajidarma, whose reporting on the 1991 Santa Cruz massacre in Timor-Leste (East Timor) broke the silence about the killings in Indonesia. In 1965-66, as many as a million Indonesians, and perhaps more, died in a wave of violence following the seizure of power by General Suharto. The events are now well covered in scholarly work in English. Army officers spurred on killings of suspected leftists and many more were arrested for their political views, becoming “tapol” (political prisoners, from the Indonesian phrase tahanan politik). Several scholars have also pointed to the role of the United States government in encouraging the Indonesian army to carry out the mass killings, a complicity highlighted decades ago and confirmed by recently-declassified US government documents.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.935

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.341
Teacher spread0.311 · 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