The Imagined Space of Academic Life: Leacock, Callaghan, and English-Canadian Campus Fiction in Canada, 1914-1948
Bibliographic record
Abstract
ABSTRACTSince the earliest establishment of universities in Canada, campuses have been the backdrop against which students, professors, administrators, and staff negotiated an important part of their daily lives. Through interpretive and contextual historical understandings, members of the public and the university community visually and discursively constructed the campus but they were in turn also intensely shaped by it. This article examines two seminal fictional accounts that depict the historical Canadian university campus: chapter 3 of Stephen Leacock’s Arcadian Adventures with the Idle Rich (1914) and Morley Callaghan’s The Varsity Story (1948). As part of a broader genre of campus fiction, these works focus on the symbolic cultural meanings and experiences that were ascribed to the natural and built environment of the university. These books were narrated through fictional actors and imbue the geography and space of the campus and one’s lived experiences with moral significance, a tapestry on which historical academic and intellectual worlds unfolded.RÉSUMÉDepuis la création des universités au Canada, les campus ont fait l’objet de négociations par les étudiants, les professeurs, les administrateurs et le personnel administratif pour l’amélioration d’une partie importante de leurs conditions de vie au quotidien. À travers le temps et grâce à des ententes et à des échanges mutuels, la population en général et la communauté universitaire ont d’une manière régulière ou sporadique façonné les campus, mais en retour en ont été fortement influencées. Cet article analyse deux créations littéraires renommées qui ont décrit l’histoire des campus universitaires canadiens. La première se trouve dans le chapitre trois de l’œuvre de Stephen Leacock, Arcadian Adventures with the Idle Rich (1914) et l’autre provient du livre de Marley Callaghan intitulé The Varsity Story (1948). Ces textes font partie d’un genre plus vaste qui englobe les fictions universitaires et mettent l’accent sur les significations culturelles symboliques et les expériences attribuées à l’environnement naturel et construit de l’université. Des personnages fictifs relatent ces histoires dans le décor géographique et spatial des campus où ils vivent des expériences ayant une implication morale. Un tableau dans lequel se déploient les univers académiques et intellectuels.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.050 | 0.037 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".