The Importance of History to the Erasing‐History Defence
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
Abstract In this article, I argue that that the primary goal of statues honouring public figures is to create and shape a collective identity. The way that these statues further the goal of identity is not by holding up the subjects of the statues as admirable but rather by asserting that the subjects were in some way objectively important and central to some group surrounding the statue. I will look at the defences for keeping statues of and awards named after John A. Macdonald and show that the primary concern is not with defending the character of Macdonald but rather that removing him is ‘erasing history’. These defences are not about defending Macdonald as a person but rather defending a conception of the Canadian identity that requires Macdonald play a central role. Against these defences of Macdonald, I show that the ‘objective history’ case for him and other such similar figures fails. In the particular case of Macdonald, it fails because he was actually not that important for Canadian history. In the general case of negative public figures, I provide a short defence of how group identities are not static and not unchangeably rooted in a single historically based articulation.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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