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 order to understand how infants come to understand others' intentions we need first to study how intentional engagements occur in early development. Engaging with intentions requires that they are, first of all, potentially available to perception and, second, that they are meaningful to the perceiver. I argue that in typical development it is in the infant's responses to others' infant-directed intentional actions that others' intentions first become meaningful. And that it is through the meaningful joining of intentions that understanding continues to develop. I use three common arenas in the first year to illustrate this claim: infants'anticipatory adjustments to being picked up, infants' emerging compliance to others' directives, and infant teasing. Even by the age of two months infants adjust their postures appropriately, gazing at the adult's face as they approach with arms outstretched to pick them up. From the middle of the first year infants come to recognize the meanings of verbal directives and start to comply with them, being drawn further into the cultural worlds of their families. In the last quarter of the first year infants start to playfully tease and foil others' intentions in a variety of ways, actively redirecting the course of intentional engagements. Others' intentions are thus increasingly available to infants, allowing cooperation, challenge, and further elaboration. Joint intentional actions are best understood as the processes through which intention awareness develops rather than just as the products of such awareness.
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 | 0.001 |
| 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) | 0.000 | 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 it