Towards a Restricted Realization Theory
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
In this paper we advance arguments in favor of a vocabulary-insertion-only program for non-lexicalist realizational models of morphology, Distributed Morphology (Halle & Marantz 1993) in particular. We claim that this end can be achieved through relatively simple and well-motivated proposals. We suggest that the vast majority of non-syntactic mechanisms can be obviated by the adoption of non-terminal insertion (Radkevich 2010; Svenonius 2012; Merchant 2013; Starke 2009; Caha 2009; see Embick & Marantz 2008 for a contrary argument)– specifically post-linearization spanning . We restrict our discussion here to whether weak suppletion must be the output of phonological processes (see e.g. Marantz 1997; Embick & Halle 2005; Harley & Tubino Blanco 2013) or simply listed (see, e.g., Bermúdez-Otero 2013), and whether the containment prediction (Embick & Marantz 2008; Embick 2012) is indeed fatal for non-terminal insertion. We also propose here that Siddiqi’s (2009) feature blocking system can be co-opted for the tasks typical of impoverishment.
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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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