The Making of Social Experience from the Sounds in Names
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
People use names to infer meaning about the objects to which those names refer. Objects whose names include vowels produced toward the front of the mouth (Siri), relative to those with vowels produced toward the back of the mouth (Google), are expected to have certain physical features (e.g., smallness, sharpness, and quickness). Do these expectations map onto social experience? The present investigation examines this question through the lens of social closeness. Participants simulating an interaction with another person whose name included a front (versus a back) vowel sound saw that person as more socially connected to themselves (Study 1), which could facilitate the interaction (better tips for servers, Study 2) or undermine it (exacerbate negative emotionality, Study 3). Theoretical and practical implications note how the sounds in names not only create expectations but also sow the seeds for self-fulfilling prophecies to be borne out in experience.
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 | 0.008 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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