Studying Self-Efficacy Among Teachers in Poland Is Important: Polish Adaptation of the Teacher Efficacy for Inclusive Practice (TEIP) Scale
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 main aim of the study was to adapt into Polish the Teacher Efficacy for Inclusive Practice (TEIP) Scale, originally prepared by Sharma, Loreman, and Forlin (2011). A total of 291 Polish teachers participated in the study. We conducted a factor analysis and reliability analysis and obtained satisfactory results similar to those of the authors of the scale. We also conducted a correlation analysis of self-efficacy and attitudes toward inclusive education. The correlation between the entire scale and the attitudes was non-significant. However, there was a significant relationship between efficacy in collaboration and attitudes toward inclusion, which is in line with other research. Although our results are similar to previously published results, more research on this topic is needed.
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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it