1-6\tUbuntu: Philosophy and Epistemology/Regional & Continental Integration/The Politics of Community/Africa in Literature
Bibliographic record
Abstract
Chair: Samuel Oloruntoba, University of South Africa\nKelly Cristine Oliveira Meira, UFMG (kellycristineomeira@gmail.com)\nSouthern African Development Community (SADC): Regional Southern Integration and Development\nTemesgen Minwagaw Lemma, Hawassa University (temamgaw@gmail.com) Ubuntu Spirit in the Traditional Beliefs and Practices of ʿWonta Wogaʾ of the Gamo People, Southern Ethiopia\nKarolina Werner, Western University (k.werner@makowski.ca) & Eric Tanguay, Wilfrid Laurier University (etanguay@wlu.ca) Comparing the Ashanti and the Buganda: The Role of Indigenous Kingdoms in State Governance\nJulia Galmiche, University of Toronto (julia.galmiche@mail.utoronto.ca). Entre science et imaginaire : le ‘livre dans le livre’ chez Alain Mabanckou
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.065 | 0.012 |
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".