Sur les traces de John MacCrae, ou l’inscription dans l’espace public du souvenir d’un combattant de 1914-1918
Bibliographic record
Abstract
John MacCrae (1872-1918), engagé volontaire dans le corps d’armée canadien dès 1914, est à l’origine du choix du symbole du coquelicot adopté dès 1921 par les pays du Commonwealth en souvenir des combattants tombés sur le champ de bataille. En partant de l’exemple de Wimereux dans le Pas-de-Calais, où il est enterré, il s’agira de voir ce qui perdure du souvenir de cet homme. Peut-on considérer Wimereux comme un lieu de mémoire ou de commémoration ? Quelles traces subsistent aujourd’hui de son passage ? Depuis quand et où est-il honoré ? Qui honore-t-on exactement ? En quoi ce lieu diffère-t-il des autres lieux qui lui sont consacrés ? L’exemple de MacCrae sera aussi l’occasion de réfléchir à la constitution de traces matérielles et immatérielles (internet), ainsi qu’à la circulation d’icônes, qui construisent dans le temps des traces mémorielles dans l’espace public. Ce qui importe, en effet, n’est pas tant le personnage que ses traces et ce qu’elles nous disent aujourd’hui d’un conflit maintenant centenaire.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".