Bibliographic record
Abstract
Stevens’s trip to the Canadian wilds took place after he had graduated from law school; he then spent a further year as clerk in Peckham’s office, and was admitted to the New York Bar at the end of June 1904. Thereby he accomplished his transformation from would-be journalist to qualified lawyer, doubtless to his father’s relief — although neither Garrett nor his son could know that there were several years of false starts and failure still to be endured in this new profession. That summer must have seemed to Stevens like a time of self-renewal, however; an atmosphere which probably enabled, and was in turn intensified by, the start of his relationship with Elsie Moll, through which was slotted into place the missing piece in his personal jigsaw, as man and woman met, and loved forthwith. I allude here to the seventh canto of Notes toward a Supreme Fiction (CP 386), because its tricky way of putting the matter seems especially appropriate to the coming together of these two unusual people; whose apparently mutual falling-in-love is as easily interpreted as a balance that was ‘achieved’, as one that ‘happened’. Whatever the emotional realities of their early attachment, it can be seen that each was peculiarly equipped to remedy the absent things in the other’s life: it is almost true to say of them, as of Fred Astaire’s and Ginger Rogers’s film partnership, that he gave her class-credibility, while she gave him sex-credibility.1
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.040 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.032 | 0.006 |
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".