Quantitative Hardware Stages That Constrain Language Development
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
We argue the case for general cognitive-processing constraints on, and cognitive-developmental stages in, linguistic performance. We use the theory of constructive operators of Pascual-Leone to analyze the sorts of’software’ (i.e., content-bound) and ‘hardware’ (i.e., content-free organismic) processes relevant for a cognitive developmental model of language. Emphasis is placed on the hardware: mental-attentional capacity as a limit on linguistic competence. We describe types of situations in which the effects of such capacity should be clearly manifest in performance and support our claims with results of two studies on language development, one on comprehension and production of subordinate conjunctions and the other on metaphor interpretation. Various linguistic performance scores in the two studies increased with age in steps that correspond to theory-predicted stages in the growth of mental-attentional capacity; a similar stage-bound developmental pattern is reported for a visual information-processing task. Theoretical and methodological implications are discussed.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 it