Bibliographic record
Abstract
The general aim of this study is investigation of the relationship between the inter-school factors and problem-solving styles fifth grade students in Shabestar.The population of the research is female and male students of fifth grade students in Shabestar.Their number is 1016, sample size is 280 based on Cochran's formulate and is selected by stratified random sampling.Data collection instruments are two questionnaires (self-made factors in the school, and standard problem-solving styles by Cassidy and Long).Kolmogorov-Smirnov and Pearson Tests are used to analyze statistic data.The results show that there is a significant relationship between effective inter-school factors and problem-solving styles of students.The results also indicate that there is a significant and reversal relationship between cognitiveenvironment and helplessness and significance and reversal relationship between physical environment and helplessness.There is a significant and reversal relationship between social environment and helplessness.There is a significant and positive relationship between cognitive environment and creativity, between physical environment and creativity, between social environment and creativity, between social environment and confidence, between cognitive environment and confidence.The results show that there is no significant relationship between physical environment and confidence.There is a significant and reversal relationship between cognitive environment and avoidance, between physical environment and avoidance, between social environment and avoidance.There is a significant and positive relationship between cognitive environment and tendency, between physical environment ant tendency, between social environment and tendency of fifth grade students in Shabestar.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.929 | 0.912 |
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".