English-Cayuga/Cayuga-English dictionary
Bibliographic record
Abstract
The first comprehensive lexicographic work on Cayuga, an Iroquoian language spoken in southern Ontario at Six Nations of the Grand River, this dictionary, combines the work of Dyck, a professor of linguistics, and Froman, Keye, and Keye, all Cayuga language teachers at Six Nations. It contains over 3000 entries, including 1000 verb forms and many nouns never before printed; extensive cross-referencing, thematic appendices that highlight cultural references and provide 1600 further entries, and a short grammatical sketch complete this accomplished work. Entries in the main dictionary are organized by bases, which will make the dictionary especially helpful to those learning Cayuga as a second language. The dictionary's accuracy and extensiveness will make it an indispensable reference not only to the Cayuga speaker and student, but also to other Iroquoian speakers, linguists, anthropologists, and historians of Indigenous Peoples. Produced under the auspices of the Sweetgrass First Nations Language Council Inc.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.095 | 0.038 |
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".