The Asian Forum for Polar Sciences: fostering Asian co-operation in Antarctica
Bibliographic record
Abstract
In the past years, Asian countries have been in the spotlight of academics and politics for various reason.Terms such as 'orientalism', 'the Asian century', and lately 'polar orientalism' have been used by many scholars to express the Asian participation in worldwide activities.'Polar orientalism' expresses the fear that countries have towards the relation between East Asian countries and their interest on polar regions.Since the Heroic Age of Antarctic explorations, Asian countries have been involved in activities in the area below 60° S latitude.Japan was also one of the twelve original signatories of the Antarctic Treaty.Since 2004, Asian countries operating in Antarctica have been organised in a regional group: the Asian Forum for Polar Sciences (AFoPS).AFoPS aims to foster co-operative scientific and logistic projects within Asian countries, to serve as a forum to encourage more Asian countries to be involved in polar activities and to communicate Asian achievements to the wider polar community.This thesis discusses the achievements obtained by AFoPS in the Antarctic community and how AFoPS, as a regional group, is positioning itself from a policy making and knowledge outcomes point of view.Additionally, also the Asian presence in Antarctica has been assessed and the level of sharing of infrastructures has been evaluated.The research has been conducted using both qualitative and quantitative approaches through interviews, bibliometric analysis and sourcing relevant documents.AFoPS, through the establishment of five action groups that were in operation for the first twelve years of life of this forum, fostered scientific co-operative activities in the Asian polar community.The outcomes of the research conducted under the AFoPS umbrella indicate an increase of coauthored peer-reviewed works.The results show that countries with a strong polar background are the one that are mainly publishing cox authored papers, and here especially researchers affiliated with institutions in the Republic of Korea.Countries that more recently began to engage in Antarctic research are enhancing their expertise co-operating with more established players.Thailand, for example, is a country that is gaining awareness on Antarctic issues through co-operation within AFoPS.In fact, AFoPS Members that already have a polar program and infrastructures in Antarctica, are sharing their facilities with AFoPS Members and Observers that currently do not have the capability to establish their own Antarctic programmes.In doing that, AFoPS aims to encourage more Asian countries to be actively involved in Antarctic research to increase, through cooperative projects, our understanding about teleconnections, or how the Antarctic interacts with the rest of the globe.
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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 | 0.028 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.019 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".