Urgently Yours: Temporal Communication Norms and Psychological Distance
Bibliographic record
Abstract
Communicators have at their disposal an ever‐increasing variety of modalities by which to transmit messages. Do the prominent norms attached to different communication modalities contain information in and of themselves? The present investigation considers this question through the lens of text messages and emails, hypothesized to confer different normative information about urgency. Text messages (vs. emails)—or any communication inferred by receivers to have been sent with greater urgency—cause the content of those messages to seem, in the eyes of receivers, closer in time (Study 1), closer in space (Study 2), and more likely to occur (Study 3). Moderation and mediation analyses confirm the role of urgency underlying the relationship between modality and distance. We provide evidence for these effects in a series of laboratory studies together with a field study in which real text messages and emails impact not only inferred distance but also a behavior deriving therefrom. Theoretical and practical implications highlight the importance, for both researchers and practitioners, of understanding how the medium of communication can shape interpretation of the message.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".