Historical amnesia and its consequences: the need to build histories of practice
Bibliographic record
Abstract
This paper focuses on two key themes: the role of history as a witness to key events, moments, or shifts in history; and the role of history in the on-going development of identity - identity of individuals, of groups, of nations or generations. I will conclude with some comments about the way the study and the teaching of history can be approached. My argument has several strands: First history is useful in the specifics - sometimes there are stories we should not forget. We owe it to stand witness. Each culture has these je me souvien moments. Some, like Hiroshima or the Holocaust, belong to the whole world. Second, there are stories that it is wise not to forget - we should learn from the blunders of those who came before us and show some wisdom. Finally I argue that historical amnesia is dangerous. Memory is necessary - we need to know who we are if we have any hope of knowing where we are going.
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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 | 0.018 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.010 | 0.112 |
| Scholarly communication | 0.011 | 0.035 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".