De Representatie van het Verleden: de Franse Revolutie in de briefroman Desmond van Charlotte Smith
Bibliographic record
Abstract
In this article I want to analyse how Charlotte Smith’s novel Desmond (1792) mediates historical distance, i.e. how the novel engages with the past and how this engagement effects a particular historical experience of the represented event. Smith’s novel gives rise to an ideological tension due to its confirmation of domestic tyranny, on the one hand, and its strong political support of the ideals of the French Revolution, on the other hand. I relate this tension to the ways in which the novel constructs historical dista nce. Methodologically, I rely on the theoretical reflections on historical distance by the Canadian historian Mark Salber Phillips. According to Phillips, historical distance is a rhetorical effect that can be studied from the text’s formal organization, its affective tone, and its ideological programme. This leads to a conceptual understanding of how a text represents a particular historical event.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.019 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".