Preface and Acknowledgments
Bibliographic record
Abstract
During the 1983-84 school year, Robert David, school superintendent for the Lacombe County Board of Education in Alberta, visited the Mirror-Alix-Clive Central High School, otherwise known as MACC High.The school is located in Alix, a small village in central Alberta about thirty miles east of Red Deer.David quietly entered the grade twelve social studies classroom and sat in the back.The teacher continued to give the lesson, seemingly unaware of David's presence.However, the dozen or so students in the class could not stop staring behind them.In a high school of eighty-five students in grades ten through twelve, any new face was justification for immense curiosity.At the time, none of the students knew why they had a visitor.I was in that classroom the day Robert David came by.Only later did I discover that a teacher named Jim Keegstra from Eckville High School had been teaching students "bad things" about Jews.The school superintendent was visiting other rural high schools in Lacombe County to ensure that similar material was not being taught elsewhere.It was later still before I understood the implications of the Keegstra affair -of a man who taught rural Alberta teenagers that the Holocaust was a hoax and that there was an international Zionist conspiracy to take over the world.The Keegstra affair was the beginning of my interest in the Social Credit movement.At the time of his dismissal from Eckville High School in 1983, Keegstra was second Alberta vice-president of the national Social Credit party.In 1988, when I began taking courses at Red Deer College towards a Bachelor of Arts degree, three years after
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.289 | 0.160 |
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".