China’s Assertiveness in the South China Sea: Have ASEAN’s Endeavors in Establishing Regional Order Truly Failed?
Bibliographic record
Abstract
The territorial disputes in the South China Sea have become the major flashpoints of both potential and existing conflicts in Asia. With claimant states from both China and member states of ASEAN, the aggressive military gestures of the claimant states have led to a myriad number of confrontations throughout the years. The inevitability of ASEAN being in the center of the disputes, have led many critics towards the regional organization on its capacity to establish any significant changes towards the dynamics of the South China Sea disputes. This research argues the opposite of the existing academic literatures, which views ASEAN as not an ideal actor in facing the fast paced dynamics of the South China Sea conflicts. It argues of ASEAN’s ability and capacity to persuade China into some forms of compromises into its policy, reflected through its defined position of a conflict management institution throughout the South China Sea crisis. The research thus argues how there is an existing misperception of ASEAN’s conflict management endeavors with the occurrence of China’s recent assertive gestures, ASEAN’s ability in instilling cooperative values and confidence building measures among conflicted states, and relevance of ASEAN’s multilateralism measures despite of China’s historical stance of bilateral means of conflict resolution in regards to the South China Sea conflict. <!--EndFragment-->
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".