Bibliographic record
Abstract
Among the most intriguing aspects of human language is its sound system and how the human infant comes to acquire it. Three major questions are addressed in this chapter. First, are there any similarities to be found between features of animal vocalizations and those of early infant vocalizations? In other words, can possible phylogenetic origins of human infant vocalizations be found in the vocalizations of nonhuman primates? If so, where exactly is the overlap? Alternatively, are even the earliest stages of human infant vocalizations quite distinct from animal vocalizations? Second, what are the major developments in the early ontogeny of the human vocalization system, and do they vary across infants with different characteristics or backgrounds? The focus here is on such features of vocal development as the onset of canonical (reduplicated) babbling, phonetic preferences, consonantal repertoire, consonantality (degree of consonant use), and complexity (combination of different consonants). Third, do variations in features of babbling across infants make a difference in language acquisition? Is just babbling itself an important precursor to language, or is the quality of babbling also important?
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.
How this classification was reachedexpand
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 | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".