Bibliographic record
Abstract
The present study is aimed at investigating the effectiveness of teaching language functions via role play in enhancing second-grade high school female students' self-esteem in society in Region 2 of Yazd Province.In terms of objective, the study is considered as a type of applied research study, with a quasiexperimental and pretest-posttest design.The population of the study comprises all the high school female students in Region 2 of Yazd Province (2880 students).In order to glean the data, the Coopersmith Self-Esteem Inventory (CSEI) was used which contained 58 items, describing the feelings, beliefs and responses of the participants.The participants were asked to fill out the inventory once before and once after the treatment.The treatment, which was teaching language functions via role play, was conducted for 10 sessions.As such, 10 scenarios were made by the researcher, each focusing on a specific speech act of language, for example, request or apology.The results of the covariance analysis revealed that teaching language functions via role play had a significant effect on enhancing the students' self-esteem in society.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.958 | 0.928 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".