Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The October 2019 Botswana national election, which returned the ruling Botswana Democratic Party (BDP) to power for the twelfth consecutive time, was dominated by a man whose name was not even on the ballot: former President Ian Khama. In an unprecedented move, Khama had broken with the BDP, a party he had led as president for 10 years, to form a new political party and to campaign against his successor, President Mokgweetsi Masisi. A highly controversial figure, Khama was none the less embraced by the main opposition coalition, the Umbrella for Democratic Change (UDC). Although the ‘Khama factor’ helped the UDC in some parts of the country, the decision to work with Khama proved overall to be a major strategic blunder by the opposition, which suffered a decline in its vote share and its representation in parliament. Paradoxically, despite the continued electoral dominance of the BDP, the election reinforces a long-standing trend toward the emergence of a competitive two-party system in Botswana.
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.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it