Post Covid-19 Metaphoric Perceptions of Preservice Music Teachers on the Concepts of “Distance Education, Home, Graduation, University and Future”
Bibliographic record
Abstract
This study aims to reveal the perceptions of preservice music teachers on the concepts of “Distance Education, Home, Graduation, University and Future” through metaphors. The study group of the research consists of 80 preservice music teachers studying the final year of their undergraduate education at the Department of Music Education in Gazi University, Kastamonu University, Bolu Abant İzzet Baysal University, Uludağ University, Van Yüzüncüyıl University, Necmettin Erbakan University and Muğla Sıtkı Koçman University as of 2020-2021 academic year. Data of the research were collected by participants completing the sentence “The concept reminds me of….because….”. Collected data were analyzed with content analysis method. Participants developed 133 different metaphors; 26 related to distance education, 19 to home, 27 to graduation, 29 to university, and 32 to the concept of the future. While the metaphors they developed on the concept of distance education reflect a negative view, those about home and graduation are considered to be relatively positive. The metaphors developed on the concept of university express a longing rather than representing either a positive or a negative view. Future, on the other hand, was a concept on which preservice music teachers came up with the highest number of metaphors and all found ambiguous. Distribution of the metaphors developed by the participants and the sample sentences selected from the opinions are demonstrated under the relevant headings.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".