It's no problem to be polite: Apparent‐time change in responses to thanks
Why this work is in the frame
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Bibliographic record
Abstract
This paper reports a rapid and anonymous study of apparent‐time change in Toronto among the use of expressions such as you're welcome and no problem as responses to thanks , thank you , and thank you very much . We observe change in progress toward no problem and no worries at the expense of you're welcome . Meanwhile, a change in stylistic stratification is also taking place: for older speakers, no problem is a less formal response, suitable principally for responding to more perfunctory thanks , rather than more formal thank you ; among younger speakers, no problem appears at equal rates in response to all levels of thanking expressions. This combination of changes may explain the intensity of the negative attention no problem attracts from prescriptivists and in popular media, in that older people perceive younger speakers as using what to them is an informal variant disproportionately frequently when a formal variant is called for.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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