Increasing Motivation and Engagement in Advanced Literature Courses: Visions of Home: Johann Wolfgang Goethe’s Novel Die Wahlverwandtschaften (1809; Elective Affinities)
Bibliographic record
Abstract
Goethe’s complex novel, Die Wahlverwandtschaften, with its focus on enhancing the home and its landscape, an activity that ends in chaos and destruction, allows for a problematization of the Enlightenment credo of perfectibility of humanity and its environment. To increase student motivation, I prefer thematic courses instead of relying on survey courses. In particular, I favor topics that lend themselves to comparing and contrasting the students’ contemporary experience with the historical context. Creating a link between the past and the present, thus offering both familiarity and alterity, facilitates access to the respective theme. At the same time, employing typical pedagogies used in the beginning language courses (images, activities beyond questions, worksheets, games) also in the advanced language, literature, and culture courses like the one described here, fosters stronger engagement with the literary text. This fourth-year course, taught in German, meets our “Learning Goals”, emphasizes transferable skills, and contributes to project-based learning.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".