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Enregistrement W4246594522 · doi:10.1088/1755-1315/594/1/011001

Preface

2020· article· en· W4246594522 sur OpenAlexaboutno aff

Notice bibliographique

RevueIOP Conference Series Earth and Environmental Science · 2020
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueCOVID-19 Pandemic Impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAgricultureAgricultural economicsEconomic shortageChinaBusinessPolitical scienceEconomic growthGeographyEconomics

Résumé

récupéré en direct d'OpenAlex

The outbreak of COVID-19 in late 2019 has brought about great changes to all aspects of our daily lives. The “Social Distancing” and “Quarantine” policies making labor-oriented agriculture trap in the dilemma of migrant labor shortage and sharp increase in daily wages for some harvesting activities. Meanwhile, the supply chains in agriculture have been disrupted because of issues in transportation and market operation policy, farmers have to decline the price for wheat, crops and vegetables, but consumers need to pay more. Agriculture around the world will undergo a difficult transition period to change production mode if the coronavirus-driven consumption patterns continue. ABS is an international annual conference that deal with agricultural and biological sciences, and ABS 2020 is primarily scheduled to be held at Tokyo University of Agriculture, Japan from August 23rd-26th. Many works were done, and many participants showed their willingness to participate ABS 2020 by submitting full papers or abstracts since late 2019. However, the outbreak of COVID-19 brought great changes to our lives as well as the schedule of ABS 2020. For the safety of the participants and for the purpose of academic exchanges, ABS 2020 was changed to online conference, August 23rd-26th, 2020. Thanks to the support and contribution of more than 50 participants from China, Japan, Israel, Turkey, Spain, Indonesia, Poland, India, Pakistan, Bangladesh, Russia, Portugal, USA, Brazil, Canada, Korea, Malaysia, Italy etc., the 6th International Conference on Agricultural and Biological Sciences (ABS 2020) was held successfully virtually online. General information about the conference was as below: 2 welcome speeches were delivered by the general Chair Prof. Machito Mihara, Tokyo University of Agriculture, Japan (Lasted for 10 mins) and TPC Chair Prof. Xuqiao Feng, Bohai University; Institute for Science and Technology of Fruits and Vegetables, China (Lasted for 15 mins); 2 Plenary Speeches were delivered by Prof. Hisayoshi Hayashi, University of Tsukuba, Japan (40 mins) and Prof. Hermona Soreq, The Hebrew University of Jerusalem, Israel (40 mins); 38 regular and invited speakers shared their newest research findings, the time duration is 10-20 mins including Q&A, covering a wide range of branches on animal, crop sciences, food, irrigation, biochemistry, agricultural economics, and ecological sciences. The conference was delivered via teams, wechat as well as via Linked, which was a great way to share newest knowledge and for academic exchanges during this special period. However, there will be limitations due to time differences, internet conditions as well as the delay feedbacks etc. More than 200 papers were submitted to ABS2020, and 60 submitted manuscripts have met the scope of IOP Conference Series: Earth and Environmental Science (EES). After a pre-review on the originality and language, peer review process was arranged by the Editorial Committee and 36 best manuscripts were selected for publication in IOP Conference Series: Earth and Environmental Science (EES). The Editorial Board was led by the Guest Editor Prof. Corina Carranca, Prof. Xuqiao Feng and Reviewers like Prof. Güllü Kaymak, Prof. Aleksandar Slavov, Dr. Anita Eka Putri, Dr. Malkanthi and Dr. Faris Nur Fauzi Athallah etc. We believe those selected 36 papers will provide some insights in the field of soil, environmental and biological sciences. On behalf of the Conference Organizers, we would like taking this opportunity to express our sincere thanks to the Guest Editor and all the Reviewers for their tremendous efforts and dedication to the conference, to all the authors for their relevant contributions to the conference, as well as all the colleagues from IOP publisher for their support and their endless efforts towards the publication of the Conference Proceedings. We believe that with their earnest support and contributions, future ABS Conferences would scale new heights. ABS 2020 Organizing Committee

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,349
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,040
Tête enseignante GPT0,211
Écart entre enseignants0,172 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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