A Theoretical Basis for Addressing Culture in Undergraduate Mining Education
Bibliographic record
Abstract
Communicating across cultural difference is a challenge for the mining industry as its attempts to gain social licence to operate in the traditional territories of Indigenous peoples. Industry organizations affirm their intention to respect communities and to develop mutually beneficial relationships, but because an understanding of culture is not a part of the mining engineer’s expertise, this goal cannot be fully realized. The undergraduate mining curriculum could address this deficiency through a critical study of culture and development of the dialogic communication skills associated with intercultural competence. Arguing that the epistemology of engineering is problematic in the cultural encounter, this paper examines, the ways in which disciplinary culture is transmitted and mechanisms for cultural change. With the objective of producing interculturally competent mining engineers, it outlines application of critical theories to deconstruct the hegemony of engineering knowledge and of communication theories to support a culturally-competent and effective approach to knowledges.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.008 | 0.038 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".