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Sans la neutralité: le potential de la bibliothéconomie critique
Neutrality is often treated as a foundational value of librarianship, but its adoption was neither inevitable nor apolitical. This paper traces the historical development of neutrality within the profession, showing how it emerged in response to external political pressures during World War II and the Cold War. Once codified, neutrality hindered further development of the profession, particularly in matters of social responsibility or justice. Critical librarianship is a librarianship that did not stop changing after the contingent addition of neutrality as a library value. This paper argues that the many disparate fights of critical librarianship are united by a shared rejection of the neutrality doctrine that has pervaded mainstream librarianship. Without neutrality, critical librarianship would not be a separate movement—it would simply be librarianship.La neutralité est souvent considérée comme une valeur fondamentale de la bibliothéconomie, mais son adoption n\u27était ni inévitable ni apolitique. Cet article retrace l\u27évolution historique de la neutralité au sein de la profession, montrant comment elle est apparue en réponse aux pressions politiques externes pendant la Seconde Guerre mondiale et la Guerre froide. Une fois codifiée, la neutralité a entravé le développement de la profession, en particulier en matière de responsabilité sociale ou de justice. La bibliothéconomie critique est une bibliothéconomie qui n\u27a pas cessé d\u27évoluer après l\u27ajout contingent de la neutralité comme valeur bibliothéconomique. Cet article soutient que les nombreux combats disparates de la bibliothéconomie critique sont unis par un rejet commun de la doctrine de la neutralité qui a imprégné la bibliothéconomie traditionnelle. Sans la neutralité, la bibliothéconomie critique ne serait pas un mouvement distinct, mais simplement la bibliothéconomie
BRACING AND NON-SURGICAL MANAGEMENT OF SCOLIOSIS IN CANADA: EARLY DETECTION, ACCESS INEQUITIES, AND THE NEED FOR INTERDISCIPLINARY REFORM
Bracing remains the cornerstone of non-surgical management for adolescent idiopathic scoliosis (AIS) with an aim to minimize the risk of progression and to avoid spine surgery. In Canada however, one third to half of patients present with curve magnitudes too severe for optimal brace treatment, resulting in higher than necessary surgical volumes. High-cost spine surgeries are fully funded while non-surgical management is not. This Professional Opinion article highlights systemic barriers to early detection that limit opportunity for non-surgical management in Canada and ultimately drive up healthcare spending. In Canada, there is an urgent need for a coordinated national strategy to re-establish routine scoliosis screening, ensure equitable public funding for treatment and expand professional training in non-surgical spinal care.
Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/46590/34720
How To Cite: Lebel A, Kline M, Boucher J, Carberry J, Adulovic N, Dermott JA. Bracing and non-surgical management of scoliosis in Canada: Early detection, access inequities, and the need for interdisciplinary reform. Canadian Prosthetics & Orthotics Journal. 2025; Volume 8, Issue 2, No. 9. https://doi.org/10.33137/cpoj.v8i2.46590
Corresponding Author: Andrea Lebel, MSc, PT Affiliation: Scoliosis Physiotherapy & Posture Centre, Ottawa, ON, Canada. E-Mail: [email protected] ORCID ID: https://orcid.org/0009-0002-9488-429
Re-envisioning “Standard” English as a Conlect: Linguistic Justice in the Classroom
This article addresses the conceptualization and teaching of “Standard” English as a naturally-occurring lect in the classroom. Contending that previous theoretical discussions have not adequately assessed the constructed nature of Standard, it is argued of that Standard English should be reconceptualized as a conlect, a type of constructed lect similar that is similar to a constructed language (conlang). By arguing that Standard English is given privilege as a naturally-occurring lect rather than understood as a conlect, the paper highlights various issues relevant for teaching and linguistic justice, including ideological factors behind Standard English education and its formulation, as well as the need for a shift in perspective and pedagogical approach to Standard English adopted by teachers. The paper contends that as Standard English effectively erases and stigmatizes other English varieties while only serving upper-class (white) elites, it therefore is the onus of educators to reject this for the good of their students. It is concluded that rather than inculcate students with a hegemonic sameness of language via the perpetuation of Standard English in the classroom, schooling should be conducted for the masses and with respect to their various tongues
Notes from the Cornfield: Indigenizing access to healthy food using traditional Navajo culture, agroecology, food, and policy alignment
\u27Notes from the Cornfield\u27 provides insights from a Navajo community practitioner who partnered with multiple Navajo communities to increase access to healthy food. In the process, common themes emerged across the intervention sites that are noteworthy and recommended to employ when partnering with Indigenous communities. Inclusion of Navajo culture to ground and guild health promotion frameworks, revitalization of Navajo agroecological practices, restoration of traditional food, and alignment with policy to promote sustainability all became important for intervention success. Author shares experience so others can gain from his work in multiple cornfields across the Navajo Nation.
Using Named Entity Recognition to Automate Information Extraction from Residency Application CVs
Background & Objectives: The Department of Family and Community Medicine (DFCM) at the University of Toronto manually reviews thousands of residency application CVs, a process that is both time-consuming and susceptible to bias. This project aims to develop an AI-based solution using Named Entity Recognition (NER) to automatically extract critical information—such as education, research experience, awards, and technical skills—to improve the efficiency, accuracy, and equity of the candidate selection process.
Methods: The approach utilizes pre-trained transformer models (BERT, RoBERTa, and DistilBERT) in a two-stage training pipeline: initial training on publicly available NER datasets, followed by fine-tuning on domain-specific CVs. BIO tagging is applied to label relevant entities. Model performance is assessed using standard metrics including precision, recall, and F1-score. The final model is being designed for integration into DFCM’s selection workflow, with full adherence to data privacy and ethical guidelines.
Results: Preliminary results show that BERT-based models perform well in extracting targeted CV information. Ongoing work includes comparing their effectiveness with large language models such as ChatGPT and Grok3 to optimize real-world implementation.
Conclusions: This NER-driven system has the potential to significantly reduce manual workload, support data-informed recruitment practices, and enable more equitable candidate evaluations. Ultimately, it contributes to improved healthcare outcomes by facilitating the selection of high-quality residency candidates