Evaluations of Overhelping and Underhelping Communication
Bibliographic record
Abstract
Older adults and persons with disability experience communication predicaments involving inappropriate help. In a retail setting, the authors examined the meanings of overhelping and underhelping and how these may be affected by the recipient's age and (dis)ability status. Young adults ( n= 221) were presented with a picture of either a young or an older target seated in an armchair or a wheelchair. Participants then read three different conversations across which their target was addressed in professional, overhelping, or underhelping speech styles. Salesperson overhelping style was associated with the most exaggerated intonation. Compared to the professional, overhelping led to downgrading of customer satisfaction and salesperson effectiveness. “Blametherecipient” effects occurred in evaluations of both underhelped and overhelped customers. The customer in a wheelchair was rated more competent than the seated target regardless of age or salesperson style. Future research will focus on assertiveness options for managing needed or unwanted help.
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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 | 0.002 | 0.009 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".