2022-2023 ECOP Asia Report.
Notice bibliographique
Résumé
The regional node of the ECOP Programme in Asia (hereinafter referred to as “ECOP Asia”) was informally established in June 2021, during the Virtual Early Career Ocean Professionals Day (V.ECOP Day). At the time, ECOP Asia was composed of a dozen volunteer members from countries across East, South and Southeast Asia, including Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines and the Republic of Korea. The core team met on a monthly basis with the aim of connecting interdisciplinary groups of ECOPs across the continent, and sharing knowledge and experience about the recently launched United Nations Decade of Ocean Science for Sustainable Development (2021-2030) (hereinafter referred to as the “UN Ocean Decade”). Members of the informal 2021 ECOP Asia group were particularly active and motivated to spread the word about ECOPs and the UN Ocean Decade. Among other contributions, they circulated the first pan-Asia ECOP survey in early Spring 2021 (with region- and country-specific results available in this report1), celebrated “World Oceans Day” on 8 June 2021 by sharing inspiring testimonials from ECOPs across India (video), made short awareness-raising interventions during online webinars and workshops, and moderated a Decade Action Incubator Session dedicated to ECOPs during the UN Decade Regional Kickoff Conference for the Western Pacific and its Adjacent Areas, a two-day conference co-sponsored by the Intergovernmental Oceanographic Commission of UNESCO (IOC-UNESCO) and its sub-commission for the Western Pacific (WESTPAC). The latter session provided perspectives on science communication, inviting speakers from different career stages and ocean sectors2 (video recording is available here). On November 2021, the IOC-UNESCO launched a call for individual consultants to support a variety of tasks related to the development of the regional dimensions of the ECOP Programme, seeking coordinators in Africa, Asia, Oceania and the Caribbean Small Island Developing States (SIDS)3. A regional consultant was subsequently hired for Asia in mid-December 2021 and has remained in this position since then. The hiring process coincided with the official launch of the ECOP Programme website, including dedicated web pages for the first three regional and national ECOP nodes: Africa, Asia and Canada4. By November 2022, a national node in Japan and regional hub in Central America were also established, followed closely by a new regional chapter in the Caribbean. Throughout the first half of 2023, another nine additional national nodes have emerged from all over the world, including in Brazil, Italy, Morocco, Niger, Nigeria, the Republic of Korea, Senegal, Togo and the United States. Several other ECOP chapters are waiting in the pipeline, currently building their own core teams, drafting concept notes, and engaging with their respective communities (e.g., Australia/New Zealand, Belgium, China, Europe, India, Liberia, Malaysia, Mexico, Mozambique, Spain and the United Kingdom). Extending from the Middle East all the way to Indonesia in Southeast Asia, and including the Russian Federation5, the ECOP Asia community grew significantly throughout 2022 and in the early months of 2023 (see section I). Figure 1 below provides a non-exhaustive list of 2022 activities and highlights that contributed to the development and expansion of ECOP Asia since the appointment of the regional consultant/coordinator. Table 1 lists more recent updates and achievements since November 2022, including ongoing work in 2023.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,131 | 0,089 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».