Bibliographic record
Abstract
All versions of Grice’s theory of utterer meaning couch success in terms of stressing the hearer’s ability to recognize what is intended. This ties naturally to the cooperative principle and the maxims of conversation. A later additional maxim of manner emphasizes that one should always facility the audience’s response in one’s communication. Meaning communication is successful with the right “uptake”, whether seen in the desires or beliefs that Grice addressed in the audience, or the achievement of understanding or comprehension that critics identified. In retrospective reflections, Grice saw the latter necessitated by the former. The point remains that if Grice is correct in requiring audience recognition for the successful communication of meaning, then this poses serious challenges for scholars working in argumentation. It provides, for example, an additional problem when exploring cross-cultural argumentative exchanges where societies have had no prior experience of each other, their norms, or shared beliefs. Moreover, the conditions that it requires makes misunderstanding a central concern. These problems are explored in the paper, beginning with an initial assumption that Grice is correct about meaning, with a view to considering whether there is need for modifications to Grice’s theory.
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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 | 0.038 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.008 | 0.103 |
| Scholarly communication | 0.017 | 0.038 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".