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Record W4406234557 · doi:10.59535/jsh.v2i2.411

Social Solidarity in the Tradition of Mutual Cooperation: Indonesia Cultural Heritage

2024· article· en· W4406234557 on OpenAlexaff
Sumitro Sumitro, Agung Firmansyah, Micha Fiedlschuster, Wafa Affaghrou, Johnas Amon Buhori

Bibliographic record

VenueJournal of Social Humanities · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Religious Practices in Indonesia
Canadian institutionsYork University
Fundersnot available
KeywordsSolidarityMutual aidSociologyCultural heritageSocial solidarityAnthropologyPolitical scienceSocial sciencePolitics

Abstract

fetched live from OpenAlex

The tradition of mutual cooperation is an integral part of Indonesian culture that has developed over the centuries and plays an important role in building social solidarity in various communities. This research aims to explore the essence of mutual cooperation as Indonesia's cultural heritage and its relevance in contemporary social life. This study discusses the history and evolution of mutual cooperation in Indonesia, its implementation in people's lives, and its role in overcoming social conflicts and disasters. In addition, the study also identifies the challenges faced in preserving this tradition and revitalization efforts to strengthen social solidarity. The results of the study show that although the challenges of modernization and individualism threaten the sustainability of mutual cooperation, these values of togetherness are still relevant as a foundation for the development of an inclusive and cohesive society in 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 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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.007
Scholarly communication0.0050.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.358
Teacher spread0.283 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations2
Published2024
Admission routes1
Has abstractyes

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