Clubs for the unclubbable: Humor and literary sociability
Bibliographic record
Abstract
What’s a club for the unclubbable? A book or magazine. This notion underlies a strain of humor about clubs in the aftermath of Britain’s 1870 Education Act. Beneath the jokes about men gathering to hide behind their newspapers lies an earnest aspiration to create a print equivalent of a club ethos: an institution that cultivates fellow feeling. Humorists such as Jerome K. Jerome, J. M. Barrie, Israel Zangwill and G. K. Chesterton jokingly redefined the club for new classes of readers, who tended to be “unclubbable” not because of the quality of their sociability, but for reasons of class, gender, or other social factors. The imagined space of print culture created a club for these “unclubbables,” one with looser rules of affiliation. Thinking of print culture as a club sheds light on literary sociability, specifically the ways in which the simple act of reading the same book can connect us.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.025 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".