Engineers Engaging with Community: Negotiating Cultural Difference on Mine Sites
Bibliographic record
Abstract
In this paper we scrutinize the concepts of culture and cultural relativism and argue that, despite difference in academic interpretations, they have relevance for engineers in their working lives. Engineers, particularly those who work for transnational resource companies, often confront different belief systems when they work on site. This article looks at the misunderstandings that can arise from superficial readings of cultural relativism, as well as the productive relationships that can emerge when engineers engage in a meaningful way with other cultures and epistemologies. This type of engagement has the potential to transform engineering knowledge and practice. We argue that it is important for engineers to understand not just why, but also how, culture matters when negotiating an equitable relationship with the communities in which they work.
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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 | 0.025 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.022 | 0.042 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.003 | 0.029 |
| Research integrity | 0.005 | 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".