On the representation of roots, stems and finals in Blackfoot
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
This chapter proposes an analysis of Blackfoot ‘finals’ in the theoretical framework of Functional Discourse Grammar. It is shown that the two classes of finals have different functions which can be accounted for by locating them in different parts of the FDG grammar component. The analysis crucially relies on the distinction between lexeme formation and word formation.Abstract finals create new words in the grammar, by allowing a selected lexeme to fit its semantic environment. This is handled by treating them as placeholder morphemes, introduced at the Morphosyntactic Level, which copy relevant values from the Representational and Interpersonal Levels.Concrete (secondary) finals create new lexemes, thus extending the language’s lexical inventory. This is handled by treating them as a special type of lexeme, namely one that is expressed as a derivational affix and is located in the lexeme derivation component of the lexicon.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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