COVID-19: lessons for developing and commissioning new mining technologies
Notice bibliographique
Résumé
For many of us in the regionally distributed and interconnected mining industries, the pandemic impacts were earlier and broader than most. PDAC, the mining mega-convention that descends on Toronto each spring, started 2020 as per any other year, but by the end of the week the world had changed. Sanitiser bottles appeared on tables, elbow bumps replaced handshakes, and the airports on the trip home were a mix of caution and carnage; a sign of the new reality to which we had now entered. COVID-19 had rapidly spread from being an isolated“Wuhan” virus, and many projects still had field personnel undertaking commissioning and service activities. In the space of a week in March 2020, the focus shifted from urgently completing tasks to evacuating staff back to safety as expeditiously as practicable. Clients were generally supportive of such movements, with similar strategies playing out within their operations. Movements were quickly constrained by pandemic restrictions, and the plane tickets, hotel beds and shipping containers were invariably prioritised for essential operations. Despite high opinions of our indispensability, we ceded priority in most jurisdictions to the public health response. It was only once personnel were back safely in their home cities or in hotel quarantine, stakeholder meetings had been urgently convened across myriad not-yet-ubiquitous online platforms, and formal written correspondence had been exchanged flagging the start of the disruption, that the reality set in; how to continue and complete mining project installations on the opposite side of the continent or world, with operations and suppliers suspended or furloughed, and no certainty as to when personnel and equipment mobility may resume? With very few precedents to draw upon in any of our working careers, the well-intended responses to these disruptions were varied in success, but in any case, will prove formative to how we act in future crises. Whilst we cannot predict with certainty when, where and how the next disaster will occur, it is incumbent on all to take the hard learned lessons of COVID-19 and have disaster response and recovery plans that are updated and reflect our real, lived experiences.
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 | 0,022 | 0,030 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,008 |
| Communication savante | 0,018 | 0,031 |
| Science ouverte | 0,005 | 0,006 |
| Intégrité de la recherche | 0,013 | 0,018 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,012 |
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 ».