MétaCan
Menu
Back to cohort
Record W4396559041 · doi:10.30742/jus.v1i1.3549

Book Review: "Hara, A.E., Indriastuti, S., & Trihartono, A. (2023). Keamanan Insani (Human Security): Eksplorasi berbagai Perspektif di Dunia. Pandiva. 238 pp."

2024· article· en· W4396559041 on OpenAlexaboutno aff
Annisa Rizkyta, Nur Zahrun Al Jannah

Bibliographic record

VenueJournal of Urban Sociology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCOVID-19 Prevention and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsHuman securityPolitical scienceLaw

Abstract

fetched live from OpenAlex

The book reviewed in this paper examines the concept of human security, which is an expanded perspective of state security. This book by Hara, Suyani and Trihartono offers a comprehensive exploration of the global perspective of human security. While detailing the human security perspectives of the UNDP, Japan, Canada and the European Union, the book also highlights Indonesia's unique position. The book emphasizes the role of Religious Non-State Actors (RNSAs) in addressing human security issues. Using primary data in its final chapter, the book advocates for a reinterpretation of human security in Indonesia that is adapted to diverse social and historical contexts. In addition, this review finds that the in-depth interpretations in this book provide opportunities for further exploration or study for future researchers.Keywords: human security; religious non-state actors; Indonesia

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.033
GPT teacher head0.379
Teacher spread0.346 · 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
GenreReview

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

Explore more

Same venueJournal of Urban SociologySame topicCOVID-19 Prevention and ImpactFrench-language works237,207