Bibliographic record
Abstract
The theory of problem-solution patterning is already well established for a wide range of genres and at macrostructure and microstructure levels of communication. That theory has, however, largely failed to account for interactive solution-problems: where a solution is or causes a problem to another person, group or thing. This chapter establishes the major parameters of this sub-theory of problem-solution structures and the related grammar and signalling. For informal writing in the natural sciences, solution-problems are shown to apply to environmental concerns, predator-prey relations and cause-effect relations. More generally the principles are extended to cover third-party involvement, friends and enemies and iatrogenic solution-problems. The sub-theory of structures and linguistic signalling outlined here applies to many genres – not just those in the natural sciences, but also in news and business reports, and general journalism. Studies of the structures and signalling of politics and fictional works (cartoons, sitcoms, soap operas, movies, novels, etc.) would be natural extensions for the principles explained.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".