Bibliographic record
Abstract
A teacher should have adaptive humor styles as well as knowledge, skills and attitudes about their profession. Humor styles affect many behaviors; from the relationships that teachers establish with their students to their characteristics. For this reason, this research was carried out to determine the humor styles of teacher candidates. 491 Teacher candidates have participated in this study, who were 3rd and 4th grade students in the faculty of education at 2 universities in Turkey. The researcher used the general survey model for the study. Data were collected using the Humor Styles Questionnaire (HSQ) developed by Martin et al. (2003). Findings showed that teacher candidates with the affiliative humor style had the highest average, those with the aggressive humor style had the lowest average. The averages of those with self-enhancing and self-defeating humor style were moderate. It was interpreted as positive that the average of those with self-enhancing humor style was high, as negative that the average of those with self-defeating humor style was moderate, and as positive the average of those with self-defeating humor style was low.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".