Bibliographic record
Abstract
This chapter describes a few limitations in using the Nelsonian model of leadership as the only benchmark for consideration. Different fleets among the colonial powers were one reason for a variety of outcomes as well as differing views as to how to prepare officers for leaderships. British Admirals such as John Jervis and Cuthbert Collingwood advised aspirant officers to read history in the absence of leadership manuals. Fleet cohesion is also outlined as another key factor in the mix with admirals working with the ‘bottom-upward’ trend in action, being the most admired and loved. The Seven Years War is identified as a significant moment when the British Navy made a step-change in its ability to outperform its rivals for example Sir Charles Saunders’ capture of Quebec and actions undertaken by Sir George Pocock and Sir Edward Hawke. On the French side actions by the Comte de Grasse and Louis Villaret-Joyeuse also demonstrated moral courage – a key element of leadership – also exemplified in Horatio Nelson’s Nile Campaign in 1798.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".