NeighborNet Splits Graph for Dene-Yeniseian Typological Features.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>The splits graph shows several clear clusters with rectilinear webbing within clusters showing regions of conflicting signals for specific taxa. Primary divisions in the splits graph are indicated with dashed lines separating primarily coastally distributed languages on the right with interior languages on the left. Colored shading highlights clusters. Within the coastal region of the network there are groupings for Pacific Coast Athabascan (PCA), Tlingit and Eyak, with Tlingit’s branch length long relative to Eyak. The Yeniseian languages Ket and Kott group tightly with each other on the right side of the network and show a long branch length indicating a high degree of differences from the others. In Interior we see several clusters: Plains-Apachean, including Sarsi (Tsuut’ina) in Canada; two groupings labeled Alaska-Canada-1 and Alaska-Canada-2 plus the smaller West Alaska and South Alaska groups. The clusters generally agree with established divisions between Na-Dene subfamilies and the rectilinear webbing is suggestive of the long history of language contact within Na-Dene. The average delta score is 0.367 and the average Q-residual score is 0.0492.</p>
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.558 | 0.002 |
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 it