TITLE NATAL-74; Towards a Commo ogramming Language for
Bibliographic record
Abstract
NATAL-74 is a programing langU ge designed for Canadian computer aided learnin (CAL) programs. The language has two fundamental elements: the UNIT rovides the interface between the student and the subject matter, nd the PROCEDURE element embodies 'teaching strategy. Desirable fea ures of seve al programing langua44S have been adapted to Cope with a 'wide range of display equipment. A variety of computational capabilities, including a calculatio.I'mode, provide flexibility in use and response processing. A major goal o NATAL-74 is to provide an effeCtive means to exchange courseware proOr'ame: The implementation phase has initially used, the DEC,1,0 COmputer, but is working toward a high level of machine independence. Cooperation and continuing dialog between CAL users, ve dors and researchers is necessary to achieve a meaningful standarrd.J or a CAL Language. (CH)
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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 | 0.000 | 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) | 0.000 | 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 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".