Her-Story: Her Voice in Franco-American History
Notice bibliographique
Résumé
Her-story is real Franco-American women talking about real issues as they learned to navigate a man’s world. Women for the first time were entering the workforce to help support their families. Utilizing primary sources, such as oral histories, this thesis provides a first-hand look at four women who vary in age, have different family situations, different education levels, as well as different social situations, and gives us a snapshot into their early lives. These four women have graciously provided details, which bring us back to a time when mills and factories flourished as they ran 24/7 and owners got rich off the backs of the workers, paying them a pittance for too many hours of work in poor conditions. For many, their strength lay in their family and their faith, thus making religion a very important part of this paper as well. Her-story is meant to answer the question, who are the women who worked in the mills? For many women, this was their first time working outside the home, as coming from the farm, their work was at home raising the children and taking care of the home. Her-story gives them a chance to speak up with regards to a time in history which is little spoken of: a time of transition for French Canadians as they settled in New England towns and worked in mills and factories. Her-story examines the major facets of women’s lives: family, education, religion, community, and work. It scrutinizes them individually and collectively to give a picture of the emotional backdrop of an earlier time in American history, when discrimination against others was prevalent and territories such as “petit Canada” were safe places to be, a place where traditions and language were able to flourish until states put a ban on speaking French in school. As religion was also important, they even petitioned for a French-speaking priest so they could have their masses in their language. This thesis focuses on 1) “traditional” family: how that meant something different to each of the women interviewed, the size of traditional French families, and how that has changed; 2) education: who was able to be educated, parish school versus public school, and language utilized in the school; 3) community: petit Canada was a safe haven for many French Canadians with family nearby; 4) religion: keeping their faith and providing a place to practice their faith was important. Each of the women had a different perspective on how these items impacted their family and the overall effect on them personally.
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 | 0,002 |
| 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 | 0,026 | 0,008 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,002 |
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 ».