Bibliographic record
Abstract
Katharine Banham was a pioneer. Just as Lewis and Clark ventured into the unknown West, she blindly went where few women had gone before – academia. With no map to follow, she blazed her own trail, documenting her route – complete with numerous detours – in the process. Analysis of this documentation would function as the\nmanual for future brave women, to whom she provided tools to both encourage and assuage their intellectual journey through higher education.\nAt a time when we are eliciting all resources possible to achieve the goal of “a world of full equality and respect for all” as stated by President Brodhead, it seems appropriate to resurrect Katharine Banham’s experience from the Archives to the forefront. For, we can learn a great deal about both her as a person and Duke as an institution from the obstacles she overcame, the programs she instituted, and the type of individual she was.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.030 | 0.013 |
| Scholarly communication | 0.018 | 0.015 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.053 | 0.008 |
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".