An Index of Nelson Ball’s Little Magazines: Volume 63 (1963–1967), Weed (1966–1967), and Hyphid (1968)
Bibliographic record
Abstract
Nelson Ball (1942– ), in addition to being an important Canadian poet, small press publisher, and bookseller, was an editor of little magazines in the 1960s. He co-founded and edited Volume 63 (1963–1967) and individually founded and edited Weed (1966–1967) and Hyphid (1968). This index provides full bibliographic data for each magazine (including dates, locations, and editors) and full listings of contributors and works (including information original to the magazines that identified from where a given contributor was writing). It also indexes advertisements for books, presses, magazines, and bookstores that appeared in the magazines to make possible the mapping of international small press distribution networks as theyhave been constructed through little magazines. This index includes an introduction that provides historical context for Ball’s small press practice and is intended to supplement existing bibliographies of Ball’s activities to continue building a literary, book-historical, and bibliographic record of his works.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.017 | 0.040 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.055 | 0.019 |
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".