Alcohol, drugs and sexual abuse in Cameroon's rainforest
Bibliographic record
Abstract
Due to global socio-economical and ecological changes, indigenous societies are exposed to an increased risk of alcohol and substance abuse. Most research on this topic has been done on indigenous communities in Canada, Australia, the US, parts of Europe and New Zealand, leaving indigenous communities in other parts of the world largely unrepresented. This study focuses on alcohol and drug consumption among the Baka: a former hunter-gatherer society in southeastern Cameroon that has been facing drastic socio-ecological changes in the last five decades. During long-term fieldwork we collected ethnographic and empirical data by means of group and individual interviews among four Baka communities. By using a multivariable approach, we describe psychoactive substance use behaviors, its socio-cultural and political context, and consequences. Our findings show that 48% of men, 24% of women and 11% of children between five and 16 years old reported alcohol intake in the past 24 h. The use of Tramadol was also reported, including by children as young as five years old. Psychoactive substances were used for recreational purposes, as painkillers, and energy boosters. Substance abuse was related to health issues, especially problems with fertility, and to several household and social conflicts. Other factors related to substance abuse were Baka's marginalization and sexual exploitation of Baka women and girls. By discussing these matters, we hope to stimulate more research on similar problems in small-scale societies and to invite governments, human rights activists, and other important parties to take action.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".