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Enregistrement W4399276939 · doi:10.15243/17

Editorial

2013· editorial· en· W4399276939 sur OpenAlexaboutno aff
Christopher Anderson

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typeeditorial
Langueen
DomaineEngineering
ThématiqueMining and Resource Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer science

Résumé

récupéré en direct d'OpenAlex

Around the world there is growing appreciation of the status of productive land as one of the planet’s most important natural assets. The extent to which land can support primary production is linked to landquality and this is defined by a range of chemical, physical and biological parameters. Sustaining these parameters is essential in the context of feeding a global population that exceeded 12 billion people in 2012. Where the productive status of land is impaired, then this land can be considered degraded. Degradation can result from poor land management, industrial land use, or as a consequence of the discharge of contaminants into soil. Degraded land is often synonymous with mining lands, especially in the developing world where environmental protection is often not a priority. Indonesia is perhaps one country where the conflict between population, economic development and land degradation is very apparent. Indonesia is the world’s fourth most populous country, yet it is the world’s 15th-largest country in terms of land area[1]. Indonesia has some of the world’s most pristine rainforest, yet also has the world’s most populous island (Java)[2]; volcanic activity has endowed Indonesia with fertile soils that have historically supported high levels of agricultural productivity. Indonesia’s economy has been a strong performer throughout the current decade, although poverty is widespread, especially in eastern Indonesia. Economic development and the exploitation of natural resources have seen significant pressure on land throughout the archipelago.Land degradation is today a major concern. In 2012, the International Research Centre for the Management of Degraded and Mining Lands (IRC-MEDMIND) was officially opened during a ceremony at the University of Brawijaya, Malang, Indonesia. The Centre is a collaborative effort between The University of Brawijaya, The University of Mataram (Indonesia), Massey University (New Zealand) and the Institute of Geochemistry of the Chinese Academy of Sciences (China). The Centre has a clear objective: to ‘translate research outcomes into practices that will lead to the proper management of degraded and mining lands through working closely with communities, government, industry and NGOs.’ The Centre is working on the subject of artisanal and small-scale mining as a key focus area. Artisanal gold mining on the Indonesian islands of Lombok and Sumbawa is today releasing mercury and cyanide into the environment. The discharge of contaminants and associated land degradation is affecting human health and food safety. To support the Centre’s work, IRC-MEDMIND has created the Journal of Degraded and Mining Lands Management, and it is my pleasure to write this first editorial for the journal. The first issue is a collection of eight papers presented during the 1st International Conference on Environmental, Socio-economic, and Health Impacts of Artisanal and Small-Scale Mining which was held in Malang during February 2012. These eight papers have been authored by leading scientists from South-East Asia and Australasia, and describe new initiatives in the management of degraded and mining lands. On behalf of the Journal of Degraded and Mining Lands Management I thank you for reading this first journal issue of Volume 1. The editorial board invites you to support this journal and signals its intention to aspire to high standards of scientific and written excellence. As a result of the generous support of the University of Brawijaya, the Journal will have no page charges. The Journal of Degraded and Mining Lands Management therefore represents a new mechanism to present relevant, high quality and peer reviewed science and commentary to the international community. Christopher Anderson Associate-Editor, Journal of Degraded and Mining Lands Management Senior Lecturer, Institute of Agriculture and Environment, Massey University, New Zealand Adjunct Professor, Institute of Geochemistry, Chinese Academy of Science Adjunct Professor, NBK Institute of Mining Engineering, University of British Columbia, Canada [1]CIA (2013). “World Factbook.” https://www.cia.gov/library/publications/the-world-factbook/rankorder/2147rank.html retrieved 28 October 2013 [2] Calder, J (2007). “Most Populous Islands.” www.worldislandinfo.com/POPULATV2.htm retrieved 28 October 2013.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,335
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,018
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,001
Communication savante0,0060,004
Science ouverte0,0020,002
Intégrité de la recherche0,0050,005
Charge utile insuffisante (le modèle a refusé de juger)0,3350,196

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 Opus0,095
Tête enseignante GPT0,473
Écart entre enseignants0,378 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2013
Routes d'admission1
Résumé présentoui

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