Should I Ask Over Zoom, Phone, Email, or In-Person? Communication Channel and Predicted Versus Actual Compliance
Bibliographic record
Abstract
Research has found that people are much more likely to agree to help requests made in-person than those made via text-based media, but that help-seekers underestimate the relative advantage of asking for help face-to-face. It remains unknown what help-seekers’ intuitions about the effectiveness of richer media channels incorporating audio and video features might be, or how these intuitions would compare with the actual effectiveness of face-to-face or email versus rich media requests. In two behavioral and two supplemental vignette experiments, participants expected differences in the effectiveness of seeking help through various communication channels to be quite small, or nonexistent. However, when participants actually made requests, the differences were substantial. Ultimately, help-seekers underestimated the relative advantage of asking for help face-to-face compared with asking through any mediated channel. Help-seekers also underestimated the relative advantage of asking through richer media channels compared with email.
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.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".