Bibliographic record
Abstract
A 1947 documentary entitled Autour de Brazzaville , filmed partly by avant-garde photographer Germaine Krull, sets about informing the French public about what “Equatorial Africa brought Free France” during World War II. While the film exalts the troops from these territories and chronicles the rallying of the colonies in question in August 1940, not to mention the heroism of doctors and the development of infrastructures under Gaullist rule, it nonetheless depicts the region's chief contribution to the Allied cause as resource-based. FEA had “offered” massive amounts of rubber, gold, and to a lesser extent, wood. Indeed, a 1943 order outlining Krull's mission describes plainly “a film about the production of gold, rubber and timber.” It is precisely this focus on extraction that constitutes the most captivating aspect of the film today, more than its perhaps predictable civilizing discourse and condescending tone (“A hundred years earlier FEA had been in the stone age,” trumpets the boisterous narrator). Frame upon frame focuses on Free French Africa's contribution of natural resources. One is left thinking that FEA and Cameroon must have been bled dry in the span of four years. Rubber is closely linked to the brutality for which the Congo Free State and the Belgian Congo became so notorious in the late nineteenth and early twentieth century. The regions that would subsequently be known as FEA proved little different in this respect. In the 1890s, rubber was collected in lieu of taxes. Concessionary companies dealing in wood and rubber carved up the area. Gabonese like Vincent de Paul Nyonda, Valére Mourigou, and Pototu Mbumb reported acts of sadistic cruelty linked to rubber production: rapes, forced incest, and other sexual crimes committed on those unfortunate enough to have brought rubber that the authorities deemed to be of insufficient or inferior quality. This first rubber fever peaked in 1917. In the wake of the Great War, the commodity's price collapsed. Thereafter, wild rubber collection dropped considerably across Africa, including in FEA and Cameroon, even though a British scheme to limit production in the 1920s briefly caused rubber demand to rebound.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".