Afoasiatic studies in memory of Robert Hetzron : proceedings of the 35th annual meeting of the North American Conference on Afroasiatic Lingusitics (NACAL 35)
Bibliographic record
Abstract
Robert Hetzron first organized the North American Conference on Afroasiatic Linguistics (NACAL) at the University of California, Santa Barbara in 1973 and passed away only six months after it had completed a quarter century of annual meetings. He would undoubtedly have been pleased to know that NACAL is still going strong, and that ten years after his passing it attracted no fewer than thirty-six scholars from the United States, Canada, and eight other countries, who presented on topics near and dear to his heart such as phonology, morphology, syntax, language contact, classification, subgrouping, and the history of scholarship, in languages such as Amharic, Arabic, Aramaic, Egyptian, Hebrew, Omotic, and others, as well as the groups to which they pertain. Since he established it, NACAL has served a unique role among the meetings of learned societies in North America. Only a handful of organizations worldwide hold annual meetings dedicated to Afroasiatic linguistics, and NACAL is one of a very small number of venues where linguists from all sub-disciplines and schools of thought meet to share their research. NACAL is also an academic nexus, a unique node at which graduate students at the beginning of their careers rub shoulders with the native speakers of the languages which they study and with the titans of their fields, men and women of an almost legendary stature such as Hetzron himself. This volume contains sixteen contributions from these scholars, on a broad cross-section of topics within the field of Afroasiatic linguistics.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".