The Organisational Work of Lady Ishbel Aberdeen, \nMarchioness of Aberdeen and Temair. (1857-1939)
Bibliographic record
Abstract
It is ray proposal to base my thesis on the movements and institutions established by Lady \nIshbel Aberdeen, and those other organisations to which she became affiliated. The Countess \nof Aberdeen was wife of the Lord Lieutenant of Ireland, John Campbell Gordon, the 7th Earl \nof Aberdeen, Lord Haddo. They served in Ireland firstly and briefly in 1886, and more fully in \nthe period 1906 until 1915. Politically they were Liberals and therefore supporters of \nGladstone and his plans for Home Rule. Between these two periods in office in Ireland they \nserved in many different capacities on behalf of the British government, including the post of \nViceroyalty to Canada which they held from 1893-97.
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How this classification was reachedexpand
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".