Pour qui combattre? : les volontaires canadiens-français entre l’affirmation et l’indifférence, 1914-1919
Notice bibliographique
Résumé
In the case of Canada, the idea that Francophones did not show the same enthusiasm for enlistment as the country's Anglophones dominates. Until the adoption of conscription in December 1917 and its implementation in the winter of 1918, French Canadians did, however, enlist voluntarily and in greater numbers than the estimates put forward by an American historian in 1937, figures still used today. Patriotism was not the main reason for enlisting French-Canadian volunteers, but a taste for adventure was probably the most common. From a historiographical point of view, the participation of French-Canadian volunteers at the front is generally limited to the 22nd Infantry Battalion, a unit that distinguished itself many times at the front. Yet there were enough French-speaking volunteers to form and maintain other units at the front, or even a complete French-speaking infantry brigade. Instead, the military authorities ordered that "surplus" French-speaking soldiers be sent to reinforce the 22nd Battalion, but above all to the Anglo-Quebec units, which were also suffering from a shortage of volunteers. Fighting thousands of kilometres from their homes in defence of a country that was not theirs, a minority in an English-speaking army that was not very welcoming to minorities, the target of an English-speaking press that was sometimes hostile to them and a population that was generally hostile to conscription, for whom were these soldiers fighting this war? Beyond this question, our thesis examines the contribution and wartime experience of Francophone combatants. It examines the interactions between the latter and their English-speaking counterparts and also the relations with the Belgian and French populations. This thesis is part of both a national Canadian history of the First World War, because of the similarities between the two linguistic national groups, and a 'transnational' history in which the experiences of the different minority communities could be compared. In addition to the exploitation of military archives, our thesis is based on the cross-analysis of published and unpublished testimonies of combatants, of which this work also provided the opportunity to produce a reasoned inventory. Except for the French Canadian opposition to the conscription Canadian publications ignore almost everything of the French Canadian war experience. When mentioned it usually relies on preconceived ideas developped during the war. Did the French Canadian soldiers live a similar or a different war experience from the English speaking Canadian soldiers? Like the the citizens in Canada were they divided as well? Past that highly critical and sensitive issue of contemporary Canadian history, we will analyze the French Canadian experience and compare it with the English-speaking components of the Canadian Expeditionary Force. Besides making use of military archives, our doctoral research will be based on a cross analysis of the published and unpublished recollections of combatants, for which this work will also be an opportunity to develop a systematic inventory.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,030 | 0,015 |
| Communication savante | 0,006 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».