An Attempt for the Exploration of Academicians’ Experiences of the Standard Foreign Language Tests Held in Turkey through Metaphors
Bibliographic record
Abstract
The purpose of this study is to explore academicians’ perceptions and experiences about the public high-stakes Foreign Language Test(s) (YDS, formerly UDS, KPDS, and their counterparts in different times and contexts) used to measure foreign language proficiency in Turkey. For this purpose, data were collected from academicians with different titles, genders, and ages through a survey in which they were asked to complete the sentence “The FLT is like __________ for me because __________” with a one-or-two-word metaphor and a short sentence explaining their reason for the metaphor they choose. Of the over 2600 academicians the survey forms were sent to through an e-mail, 110 filled-in the forms. The data obtained were analyzed verbally and 34 different metaphors were collected. After the analysis of the metaphors, it was drawn that academicians generally have negative feelings and experiences about the foreign language test(s).
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".