Experiential Pedagogy to Join the Thread of Conversation with Paul et Virginie
Bibliographic record
Abstract
It is a challenge to bring an eighteenth-century French novel into the “learn- ing community” of a third-year university classroom for a French studies curriculum in the Anglophone province of Ontario. In her 2014 disserta- tion on experiential learning, Jennifer Niester-Mika noted the difficulty of bringing together students who come “from an array of backgrounds.” In the multicultural classroom of Canada, we cannot count on shared popular culture, and we are, in effect, in “a world in which every utterance has an infinite plurality of meaning” for a variety of reasons—including a limited control of (French) language, which sometimes results in misunderstand- ings and occasional reluctance to engage in class conversation. This chapter shares how I used experiential pedagogy successfully to teach Jacques-Henri Bernardin de Saint-Pierre's 1788 novel Paul et Virginie to achieve my goal to have the class join the conversation, while fostering student investment in cultural items, such as the library display of eighteenth- and nineteenth- century paper books. North American libraries generously grant free access to very old books, which allows students to experience their weight, tex- ture, print, paper quality, and luxurious bindings. However, the fact that they were locked away in a glass case for the library exhibit seemed to give them a daunting aura, so I sent students on a quest to locate other cultural objects relevant to the novel. For instance, students located hopscotches and labyrinths in their own town (we found one labyrinth on campus; it was a modern expression of an old practice). We also considered the way in which gardening in the novel compares with students’ own relationship to seeds and plants, so that they understood the novel as reflecting familiar daily activities. One enduring cultural activity is the consumption of romance novels that have tragic endings. The novel central to this experiment, the lowbrow and popular Paul et Virginie , bears some resemblance to the 1997 blockbuster Titanic because of the common tropes of forbidden love and heroic deeds, and the grand finale of a sinking ship in catastrophic weather conditions. These multiple points of access to the novel invite a pedagogical strategy that makes use of experiential learning and adaptation to strengthen critical thinking and cultural awareness.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".