MLA volume 123 issue 2 Cover and Front matter
Bibliographic record
Abstract
November, by the Modern Language Association of America. Membership in the association is open to persons who are professionally interested in the modern languages and literatures. Annual (calendaryear) dues, which include subscription to PMLA, are based on members' incomes and are graduated as follows: student members (seven years maximum), $20; new regular members (first year), $35; regular members (income under $15,000), $25; regular members (income $15,000-$20,000), $40; regular members (income $20,000-$30,000), $50; regular members (income $30,000-$40,000), $65; regular members (income $40,000-$50,000), $75; regular members (income $50,000-$60,000), $85; regular members (income $60,000-$70,000), $95; regular members (income $70,000-$80,000), $105; regular members (income $80,000-$100,000), $125; regular members (income $100,000-$120,000), $145; regular members (income $120,000-$140,000), $165; regular members (income over $140,000), $175; joint members (two individuals sharing the same household, who receive one subscription to PMLA but two copies of all other publications), add $20 to dues category of higher-income member; foreign members, same as regular members (use the American-dollar equivalent to ascertain the dues category). Membership applications are available on request and at the MLA Web site (http://www.mla.org/).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.839 | 0.763 |
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".