Mobilizing the past:<i>creuseurs</i>, precarity and the colonizing structure in the Congo Copperbelt
Bibliographic record
Abstract
Abstract The Copperbelt of Congo was once the bastion of industrial development and no individual embodied its modernity as fully as the salaried industrial miner. Today, with the near collapse of the state-run mining company, Gécamines, and the liberalization of the mining industry starting in 2002, the majority of miners are no longer trained and salaried industrial workers but rather children and youth eking out a precarious living as artisanal miners orcreuseurs. In Congo, artisanal mining is paradoxical, for, although it indexes a future of unskilled, untrained, flexible work in rural and peri-urban enclaves, its organization of labour and rudimentary techniques of copper extraction allude to and borrow from the colonial and precolonial past.Creuseursmobilize the past as a strategic response to the threat of dispossession of ‘their’ land by the state and foreign investors, and they do so by laying claim to an anterior ‘sovereign’ – the ancestors – whose existence predates colonialism. This paradoxical emplacement of artisanal mining, its entanglement in time, invites interrogation of some of the ways in which scholars have understood precarity not only as a politically induced condition resulting from neoliberalism but also as an outcome of the enduring nature of the colonizing structure in Africa.
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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 | 0.001 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".