Predictors of Academic Achievement at Different Levels of Socioeconomic Status
Bibliographic record
Abstract
Success is a concept that is desired by everyone. In the Turkish education system, Anatolian high schools are considered one of the most prestigious schools which accept students via national central exams. The purpose of this study is to reveal indicators explaining the placement into Anatolian high schools, which is an important sign of success, in socioeconomically different regions. Logistic regression analyses were used as a prediction design. Data was collected from the 1049 10th grade high school students in Istanbul. According to findings, the indicators affecting the probability of studying in Anatolian high school differ between the low life quality indexed region (LLQR) and the high life quality indexed region (HLQR). In LLQR GPA, gender, number of people in the household, and mother’s monetary contribution were found as significant indicators. In HLQR GPA, father’s income and mother’s education level were found as significant indicators. These results are discussed using the main theories of educational sociology.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".