FT22.4 - Visual attention to threat in the Himba, a remote people of Namibia
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
Abstract: Threatening stimuli capture visual attention more rapidly than benign stimuli. The canonical interpretation of this robust finding is that the brain evolved a “fear module” enabling rapid detection of threats common at the time of mammalian evolution, such as snakes and spiders. This rapid attentional capture is thought to enable prioritized processing of threatening stimuli, providing a survival advantage, and is assumed to be universal. However, these findings have been documented almost entirely in WEIRD (white, educated, industrialized, rich, and democratic) populations. Here, we address this gap by examining threat detection in a remote African culture, the Himba. Using a touch screen visual search task, we found that both evolutionary-relevant (snakes and spiders) and modern threats (knives and syringes) captured attention more rapidly than benign stimuli. To our knowledge, this is the first study showing that the same kind of threats that rapidly capture visual attention in the West also rapidly capture visual attention in the Himba. List of authors and affiliations: Anna Blumenthal: University Laval; Serge Caparos: Université Paris 8; Isabelle Blanchette: Université Laval
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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