Traces of the artist: Sensitivity to the role of the artist in children's pictorial reasoning
Bibliographic record
Abstract
In three studies we investigated the question of whether children consider the attributes of the artist (sentience, age level, affective style, emotion) when making judgments about the traces (drawings) made by that artist. In Study 1, 2–5‐year‐old children were asked to find pictures drawn by a machine, an adult, an older and a younger child. Results indicated that children younger than 4 years do not consider the artists' attributes when making judgments, but 4‐ and 5‐year‐olds do. Furthermore, whereas the oldest children were adept at both machine‐person (sentience) and person‐person (age) contrasts, 4‐year‐olds succeeded only with person‐person contrasts. In Study 2, videotaped artists displayed differences in degree of agitation (affective style) while drawing, and this attribute was manipulated in the drawing by varying line density, asymmetry, line overlap and line gap, or all four features, across stimuli. Three‐ and five‐year‐old children judged whether a calm or agitated person drew the stimuli. Findings showed that five‐year‐old, but not 3‐year‐old, children easily completed the task. In Study 3, 3‐, 5‐ and 7‐year‐old children judged whether happy or sad artists made paintings of matching emotional tone. Performance on this picture judgment task was contrasted with performance on three theory of mind tasks (false belief, emotion and interpretative). The results indicated that 5‐ and 7‐year‐olds successfully judged the impact of artists' emotions on paintings, but 3‐year‐olds did not. Performance on the picture task was related to that on the false belief task, but not to the emotion or interpretive tasks. Taken together, the results suggest that children's view of visual symbols includes a consideration of the qualities of the artist beginning around 5 years, and there appears to be a common link between judgments of the mind behind the visual symbol in the picture task and judgments of mental state reasoning in the false belief task.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".