Stories Teachers Tell: A Narrative Exploration of American Sign Language Teachers’ Professional Lives
Notice bibliographique
Résumé
American Sign Language (ASL) is one of the most popular languages for foreign language study among hearing adult learners.ASL teaching has deep connections to the long-standing oppression of deaf people and sign languages, and so ASL teachers might be linguistic and cultural guides as well as deaf advocates, allies, and spokespeople.Yet, little research has addressed who ASL teachers are and how they have come to and navigated the profession.In Canada, there is no clear educational pathway to learning to teach ASL.Although formal and informal teacher learning opportunities exist, they are not widely adopted or enforced.In response, this narrative dissertation explored the professional life histories, or pathways, of seven ASL teachers in Canada through multi-part interviews.I was informed by theories of narrative as a social practice and teacher learning as embodied, and prior literature about the sociohistorical context of ASL and ASL teaching in North America.To further contextualize teachers' stories, I also conducted interviews with representatives from deaf cultural organizations and ASL program administrators and incorporated publicly available data about ASL in Canada.The findings of this study were an extensive collection of stories drawn from the seven teachers' accounts, organized into three chronological clusters: early ASL and teaching experiences (pathways to teaching), ongoing teaching experiences (pathways through teaching), and reflections on experience (pathways forward).Stories about teachers' early experiences underscored the diversity of people that comprised this workforce-native iii and non-native signers, deaf, hearing, and hard-of-hearing, formally and informally trained, and so on.Their accounts of ongoing practice illustrated how they variously strove to be teachers and the different successes and challenges they met along the way in meeting their goals.Teachers' closing reflections demonstrated that their teaching work was tightly intertwined with other goals, including the broader social justice aim of improving the status of sign languages and deaf people in Canada.This study aimed to make a space for ASL teachers in academic conversations where they are rarely featured.I hoped that ASL teachers, especially the study's participants, found meaningfulness in reflecting and sharing professional experiences documented in this dissertation.Dr. Janna Fox, my supervisor, thank you for everything.Without you this "beast" would never (ever) have finished-or started, for that matter!Thank you for your infinite patience and wisdom over these many years, and for being the loudest cheerleader in my sprint to the finish line.Dr. Natasha Artemeva, thank you for your calm and nurturing guidance always, from my first campus visit in 2011 to the end of this Ph.D. nearly ten years later.Thank you for all of the great theorists you brought to life.Dr. Samah Sabra, a.k.a."who I want to be when I grow up", thank you for showing
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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 | 0,005 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,021 | 0,015 |
| Communication savante | 0,010 | 0,011 |
| Science ouverte | 0,002 | 0,009 |
| Intégrité de la recherche | 0,003 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».