Disassembling the canvas : a visual analysis of marine ex-voto images from eighteenth century Quebec and France
Bibliographic record
Abstract
The visual analysis of four Quebec marine ex-votos, namely the Ex-voto de Charles Edouin (1709), the Ex-vota de Madame Riverin et ses enfants (1712), the Ex-voto de Ludovicy Prat (1706), the Ex-voto des cinq naufragés de Lévis (1754) is thoroughly executed within this thesis, all of which are on exhibition in the Musée de Sainte-Anne-de-Beaupré near Quebec City. By doing so, it is revealed the extent to which Quebec marine ex-voto images reflect a close relationship between the divine and material realms as well as the degree of piety among religious individuals during this era. With reference to the theory of the sublime, first introduced by Edmund Burke and elaborated upon by John Dennis, which illustrates the extent to which the sea elicited fear and horror as well as the correlation between the divine and the material spheres, this thesis works to provide a window into the social and cultural structures of eighteenth century Quebec. The sources that these marine images drew from, namely French ex-voto paintings, are numerous and will provide some explanation of this 'other worldliness' that they exude. In order to effectively contextualize these four Quebec marine ex-votos, this thesis also includes a comparison between the four ex-votos and three of their French counterparts in order to detect the characteristics and distinctiveness of Quebec marine ex-votos during the eighteenth century.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".