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Record W3194342036 · doi:10.5206/mfdsecfw.v6i1.14187

Increasing Motivation and Engagement in Advanced Literature Courses: Visions of Home: Johann Wolfgang Goethe’s Novel Die Wahlverwandtschaften (1809; Elective Affinities)

2021· article· en· W3194342036 on OpenAlexvenueno aff
Karin A. Wurst

Bibliographic record

VenueLe Monde français du dix-huitième siècle · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsVisionProblematizationContext (archaeology)Theme (computing)GermanAlteritySociologyVisual artsAestheticsPedagogyPsychologyArtLiteraturePhilosophyEpistemologyLinguisticsHistoryComputer scienceAnthropology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.027
GPT teacher head0.256
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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