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
Katz and Pexman reported that certain occupations (e.g., comedian) were associated with ironic speech and that participants rated metaphors as more sarcastic when speakers were members of such occupations. In the present research, the authors investigated whether speaker occupation was a cue to ironic intent when the statements were not metaphors (e.g., literal statements such as “you are a wonderful friend, ” potentially an ironic insult, and “you are a terrible friend, ”potentially an ironic compliment). Results of Experiments 1 and 2 demonstrated that speaker occupation stereotypes were routinely integrated in the comprehension process but only cued ironic intent when other contextual cues were minimal.Results of Experiment 3 demonstrated that speaker occupation stereotypes involve particular types of information in the context of potentially ironic speech: a speaker’s perceived tendencies to be humorous, to criticize, to be sincere, and also a speaker’s perceived education level.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it