Bibliographic record
Abstract
This paper offers a novel, secular account of the virtue of humility. There are only two such accounts in recent philosophical literature: one defended by Julia Driver, the other by George Schueler. Driver attaches the virtue of humility to people who underestimate their merits, or lack beliefs about their merits altogether. Schueler thinks that humility requires indifference to how we are regarded vis-à-vis our accomplishments. This paper brings out the limitations of those accounts and constructs a new one which is free of them. The new account derives directly from the under-appreciated approach defended a century ago by Hastings Rashdall, who developed a secular (albeit religiously-inspired) account of humility according to which true humility reflects love for one's neighbour. After indicating the flaws in Rashdall's approach, I develop an account based on his intuitions. Specifically, I argue that humility requires suppressing our egos when they lead us to neglect or disregard other duties. Humility comprises two dimensions: a private dimension, for when we uphold self-regarding duties rather than succumb to the temptations of ego; and a public dimension, for when we display fidelity to other-regarding duties at the expense of the pleasures of ego.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.028 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".