Licínio Azevedo, dir. The Train of Salt and Sugar [Comboio de Sal e Açucar].
Bibliographic record
Abstract
When the credits rolled on Licínio Azevedo’s latest film, The Train of Salt and Sugar (the title in Portuguese, Comboio de Sal e Açucar, offers consonance between the “s” and sibilant “ç”), one of my first thoughts was that it was made for Mozambicans, or at least for those who know more about the country than the average popcorn eater, even in the art houses where it might be likely to play. (I couldn’t find one, and managed to view the film only with a timely intervention from Ukbar Filmes, one of Azevedo’s production partners.) This is both a good thing and a bad thing. Good, because feature films set in Mozambique, such as Azevedo’s, are few; it has won several awards and is the country’s first film ever to be submitted for consideration for an Oscar. Bad, because a wider viewing audience will struggle to understand some of the film’s more interesting elements. How well it could work in a history course will turn around both the nature of the course and the purpose of using the film.
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 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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".