Fitzgerald’s The Great Gatsby Between the Film and the Novel: A Corpus-driven Study of Students’ Responses
Bibliographic record
Abstract
It is argued that films are valuable parts of our culture, that they facilitate students’ understanding of novels, that they make classes more interesting, and that they should be integrated into the course materials. In line with this contention, this article attempts to explore the significance of film as an educational tool from the students’ perspectives. Students have been given a question focusing on their impressions about the novel and the film. They have been also given a week’s reprieve to turn in their responses via e-mail so that they can maintain the necessary privacy and answer freely. In this way, they won’t be obligated to choose a given response similar to what occurs in a questionnaire. The discussion demonstrates that most students are not for watching films, and that their responses are indicative of their uncritical viewing of the film. Having no clear idea about cinematic techniques and directors’ treatment of texts and changing them into scripts, students are not in a position to evaluate films well. Key words: Albinism (albino); Race; Blackness; Community; John Edgar Wideman
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".