Use of the Movies in the Turkish Language and Literature Education in Turkey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of the present research is to investigate the teachers’ use of movies in their classes for the teaching of literature and their opinions on this technique. The research is designed as a case study. The target group of the research, selected on information-oriented sampling, consists of 44 Turkish Language and Literature teachers who graduated from 27 different Turkish universities and work in education centers, state and foundation schools and enrolled in Okan University pedagogical formation program. The responses given to the open-ended questionnaire items prepared by the researcher are interpreted qualitatively by means of content analysis. The data obtained from the research are interpreted under the categories of (1) the movies used in the classroom, (2) the purpose for which the movie is used in the classroom, (3) the selection of movies according to literary genres, (4) benefits of the educational movies for research group, (5) limitations of the educational movies for research group. Depending on the research results, some recommendations are made for the use of movies in the classroom.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it