#OutsourcingMustFall: The Role of Workers in the 2015 Protest Wave at South African Universities
Bibliographic record
Abstract
students at the University of the Witwatersrand (Wits) in Johannesburg, South Africa, launched a protest against the annual increase in student fees at the university. In the subsequent days and weeks, the protest spread to universities across the country, and came to be known as the #FeesMustFall (FMF) movement, which built on student movements earlier in the year, most notably the #RhodesMustFall movement. This was the biggest university protest wave in South Africa since the end of apartheid in 1994 and, some say, the most significant student protest since the 1976 Soweto riots. While the protests began with a focus on the student fee increase for 2016, demands were soon expanded to include issues such as free education, the cancellation of student debt, the decolonisation of the curriculum, and the insourcing of all university workers.
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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.044 | 0.020 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 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".