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
Despite the popularity of social networks and technologies that intend to enhance social interaction, more Americans feel lonely now than before. This research examines how loneliness affects consumers’ responses to consensus-related social cues in marketing contexts. Results from three studies show that lonely consumers prefer minority-endorsed products, whereas nonlonely consumers prefer majority-endorsed products. However, this pattern occurs only when consumers’ product preferences are kept private. When product preferences are subject to public scrutiny, lonely consumers shift their preferences to majority-endorsed products. Results also reveal the underlying mechanisms. Minority-endorsed products fit better with the feelings of loneliness, and this fit mediates the effect of loneliness and endorsement type (i.e., majority vs. minority endorsement) on product evaluations in private consumption contexts. Yet, when their preferences are subject to public scrutiny, lonely consumers are concerned about being negatively evaluated by others, and this concern causes them to conform to the majority.
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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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