Reconstructing phylogeny from linkage diffusion
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
Linkage models of language diversification (Ross 1988, François 2014) represent the slow differentiation of closely related sister languages via dialect continua. Such historical relationships are said to prevent the reconstruction of branchinternal phylogeny. A newly defined mode of linkage variation challenges this restriction. In cladistic hinge diversification, speakers of a geographically central variety mediate innovations between isolated extremes of a sub-branch, while all three daughter branches maintain evidence of their own exclusive innovations. The resulting pattern blends linkage relations with family relations. Following a contextual review, the paper presents supporting evidence for the distinction from the Phowa languages of southwest China (Ngwi < Burmic < Tibeto-Burman). Data analysis includes sociohistory, dialectometry and genetic linguistic components. The argument affirms both wave and tree models of language change, enabling an enriched understanding of focal, relic and transition areas and their influence on the leveling, development and diffusion of linguistic innovations.
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.
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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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