Digitalization, the Changing Mobility Equation and Regional Development: Experiences in the Mining Sector in Canada and Australia
Bibliographic record
Abstract
Mining has undergone a number of significant technological and organizational changes in the past fifty years. The organization of mining around the residential mine town of the pre- and post-World War 2 era gave way to the fly-in/fly-out arrangements in the 1980s. This is now challenged by a shift to the remote operations arrangements of the current digitalization era, which may see many mining jobs relocate to metropolitan areas. Each of these organizational arrangements has different implications for the regional development prospects of mining regions. Using examples from Canada and Australia, this paper explores those implications and considers some of the potential actions that may be necessary if the value proposition of mining is to continue to be acceptable to those affected by the changes. Keywords: mining, fly-in/fly-out, digitalization, regional development, value propositions ___________________________________________________________ Numérisation, équation de mobilité changeante et développement régional : expériences dans le secteur minier au Canada et en Australie RésuméL'exploitation minière a connu un nombre de changements technologiques et organisationnels importants au cours des cinquante dernières années. L’organisation de l’exploitation minière autour de la ville minière résidentielle d’avant et d’après la Seconde Guerre mondiale a cédé la place aux dispositions d’arrivées et de départs de transports aériens, dans les années 1980. Cette situation est désormais remise en question par le passage aux modalités d’opérations à distance de l’ère actuelle de numérisation, qui pourrait voir de nombreux emplois miniers délocalisés vers les zones métropolitaines. Chacune de ces dispositions organisationnelles a des implications différentes pour les perspectives de développement régional des régions minières. À l’aide des exemples du Canada et de l’Australie, cet article explore ces implications et considère des actions potentielles qui pourraient être nécessaires si l’on veut que la proposition de valeur de l’exploitation minière continue d’être acceptable pour les personnes touchées par les changements. Mots-clés : exploitation minière, arrivée et départ, digitalisation, développement régional, propositions de valeur
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".