Social sciences and the mining sector: Some insights into recent research trends
Why this work is in the frame
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Bibliographic record
Abstract
The number of science publications is growing exponentially, thus increasing the need for understanding the knowledge base of various research streams and their emerging branches. From a social science perspective, the literature on the mining sector – the industrial sector that extracts ores and minerals from the ground – has also witnessed steady growth. However, this literature is rather fragmented in regards to the thematic topics and the geographical focus. To respond to this, this paper offers a systematic literature review of the social science research on the mining sector. The publication database of this review includes a set of 483 systemically selected papers from 976 authors, covering empirical research conducted in 73 countries from 5 continents: Africa, Europe, Asia, Australia and America. Our contribution is twofold. Firstly, we provide an analysis of the geography of the research in terms of both authorship and empirical focus. In terms of the geographical coverage of the empirical cases, Australia appears as the most studied country in the field, followed by countries in other regions such as Asia (China, India, Russia and Turkey), Africa (Ghana, South Africa and the Democratic Republic of the Congo), North America (the USA and Canada), Latin America (Brazil and Chile) and Europe (Poland, Spain and Sweden). However, this dispersion is not reflected in the geographical coverage of the affiliations of the authors. Secondly, we identify the most popular social science research topics on the mining sector. Our results show that the social science research on the mining sector shifted from the traditional research streams (e.g., industrialisation and growth, colonialization, technological and economic development, and the resource curse) to the new streams of research on social, environmental and economical sustainability (e.g., the social license to operate, corporate social responsibility, criticality of the rare earth elements, material flow analysis and environmental impacts). Overall, our study serves as an entry point for researches who are interested in social science research on the mining sector.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it