Forest people: The role of African rainforests in human evolution and dispersal
Bibliographic record
Abstract
Abstract Conventionally, the African continent has been partitioned in two evolutionary domains. One of them, the rainforest, is home to apes and covers central and West Africa. The other one extends through the woodlands and savannas of East and Southern Africa and has been traditionally perceived as home to humanity. The morphology of early humans is well‐adapted to open environments. 1 In addition, food procurement in savannas is known to be easier and more reliable than is provisioning in the rainforest, with its dispersed and cryptic faunal resources and fickle carbohydrates and fat. In the late 1980s, human ecologists and socio‐cultural anthropologists demonstrated that full‐fledged foraging without some agricultural support has been virtually undocumented in tropical forests today or in the recent past. 2 This research portrayed the present‐day rainforest ecosystem as an unfriendly environment that is unable to support purely foraging groups, and questioned whether hominids ever lived in it. 2
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| 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".