Context-Dependent Affordance Reports in Vision-Language Models
Abstract
Vision-language models produce different object and use descriptions under different persona prompts, but low overlap alone does not identify an affordance effect. We audit an earlier seven-prompt study and add matched-question controls. In the historical Qwen pilot, 363 of 3,213 parsed responses contain empty object lists. These affect 2,037 of 9,244 comparisons, with the implementation assigning zero lexical overlap to every affected pair. Conditioning on nonempty reports raises pooled word Jaccard from 0.095 to 0.121 and sentence cosine from 0.415 to 0.511. A previously named chef-specific Tucker factor loses its concentrated loading under missing-cell and complete-nonempty analyses. We withdraw the functional-manifold interpretation and the conversion of similarity scores into percentages of meaning. A new experiment uses 48 images absent from the original pilot, four personas, a shared three-object task, two wordings, and two requested seeds in each of two model configurations. Qwen3.5-9B's persona-minus-wording cosine-distance contrast is 0.0146 (95% CI [-0.0003, 0.0295]; 37 complete images). Ollama llava:13b's persona-minus-wording cosine-distance contrast is -0.0266 (95% CI [-0.0412, -0.0121]; 32 complete images). Persona-associated variation does not uniformly exceed wording or sampling variation. The study provides a reproducible analysis of context-conditioned reports while separating response availability, content similarity, and the limits of inference from linguistic outputs. Correction and release note — v3.0.0 This substantial revision corrects empty-response handling in the historical study, withdraws the conversion of similarity scores into percentages of meaning and the functional-manifold interpretation, and adds matched-question controls on two model configurations. The manuscript includes a correction disclosure and explicitly limits inference to context-conditioned linguistic reports. The previous versions remain available in the version history. This release includes the 16-page paper, the complete LaTeX submission source, and the reproducibility archive with code, stored responses, derived results, and verification records. COCO images and model weights are not redistributed. The two model configurations yield different persona-minus-wording contrasts; this is not evidence of a universal persona effect or an architectural mechanism.
Fields of Study & Subjects
Face Recognition and Perception
Embodied and Extended Cognition
Spatial Cognition and Navigation
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 September 2026
- Document type
- Preprint