Bibliographic record
Abstract
marked its fiftieth year of operation. During the middle period of these years, beginning at about 1968, the Faculty became well known for Its innovative work in the use of computer assisted Instruction (CAl). This paper identifies the antecedents of this work as the research orientation of those who brought the Faculty into existence. This orientation provided the Impetus for the development of a research laboratory which grew to eventually encompass numerical computing as well as computer assisted instruction. Some of the factors contributing to the decline of computer assisted instruction at the University of Alberta are also identified. Résumé: 1992 marque le cinquantieme anniversaire de Ia faculté d'´Education de I ' Université d 'Alberta. Dés 1968. Ia Faculté étaif reconnue pour le travail innovateur qu'on y accomplissait dons le domaine de l'enseignement assisté par ordinateur (Computer Assisted instruction [CAl]). Le présent exposé retrace l'historique de 'orientation prise par ceux qui ont contribué mettre cette Faculté au monde. C 'est cette orientation qui a favorise' l'etabilssement du laboratoire de recherche qui s'est par Ia suite orlenté vers i'informatique numérique et vers l'enseignement assisté par ordinateur. Les facteurs qui ont contribué au declin de l'enseignement assisté par ordinateur å l'Unlversite ' de l'Aiberta sont aussi identifiés.
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.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.061 | 0.005 |
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".