The Human-Computer System: Towards an Operational Model for Problem Solving
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
We take a visual analytics approach towards an operational model of the human-computer system. In particular, the approach combines ideas from (human-centered) interactive visualization and cognitive science. The model we derive is a first step on the path to a more complete evaluated and validated model. However, even at this stage important principles can be extracted for visual analytics systems that closely couple automated analyses with human analytic reasoning and decision-making. These improved systems can then be applied effectively to difficult, open-ended problems involving complex data. Another advantage of this approach is that specific gaps are revealed in both visual analytics methods and cognitive science understanding that must be filled in order to create the most effective systems. Related to this is that the resulting visual analytics systems built upon the human-computer model will provide testbeds to further evaluate and extend cognitive science principles.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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