Le naufrage de <i>La Bourgogne</i>, 4 juillet 1898. Fabrication d’un événement médiatique émotionnel
Bibliographic record
Abstract
The shipwreck of La Bourgogne, took place on the 4th of July in 1898 of the Newfoundland coast, was a very well covered maritim disaster. It appalled the French population which demonstrated generosity and solidarity towards the mourning families. The goal of this master thesis was to gather the different articles published in reaction to the catastrophy, in order to question the representations and sensitivity of French people at the end of nineteeth century, towards this collision. What happened ? Was it a recurring event ? What was the reaction of the population ? What was the newspapers influence on the french society ? This study offers to answer this questions. So generaly speaking, this study uses great historiographical approaches such as maritim history, press history and representations history, so as to examine on the reality of this mediatical event.This master thesis is divided in three parts, including nine chapters written with different points of view. The technical, commercial, journalistic, emotionnal and memorial considerations are studed successively to confer at this study a real plurality in its approaches. The bias to render intelligible the circonstances of the shipwreck while considering the stakes sourronding it, was taken. What is more, the articles, in their content and their format, are analysed to draw up the mediatic cover of the disaster. Finally, beyond the simple retranscription, the analysis focuses on nuancing and putting into context the collision of the ship, to identify the ins and outs of the conception of an emotional mediatic event as the shipwreck of La Bourgogne.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".