Bibliographic record
Abstract
Established in 1984, it first appeared every second year, was published annually from 1994 to 2008 and has since appeared three times within two years.Since 2022, SPELL is published open access as an online journal.A full backlist is available from e-periodica.ch:www.e-periodica. ch/digbib/volumes?UID=spe-001.Every second year, SPELL publishes a selection of papers given at the biennial symposia organized by SAUTE.Non-symposium volumes usually have as their starting point papers given at conferences organized by the Swiss network of Anglophone Studies, in particular conferences of SANAS, the Swiss Association for North American Studies, and SAM-EMES, the Swiss Association of Medieval and Early Modern English Studies.Decisions concerning topics and editors of individual issues are made by the Annual General Meeting of SAUTE two years before the year of publication.SPELL publishes peer-reviewed, original work devoted to the study of the English language as well as Anglophone literatures and cultures.Contributions are usually by participants at the conferences mentioned, but editors are free to consider other proposals or solicit further contributions.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.890 | 0.901 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".