Corresponsabilidad de la Familia y Desempeño Escolar en Instituciones de EGB de Jama, Ecuador
Bibliographic record
Abstract
The present scientific research construct was based on determining the relationship between the family co-responsibility variable and school performance in EGB institutions in Jama, Ecuador. Oriented around the critical propositional paradigm with a non-experimental approach, subject to scientific arbitration with descriptive correlational design. The contribution of the population of 32 students from 5 fiscally supported educational institutions, chosen at the convenience of the researcher. To which the questionnaire on family co-responsibility was applied, therefore, with the purpose of obtaining data on school performance, the average grades of the first quarter of the 2023-2024 school year, of basic general education schoolchildren, were analyzed. (EGB) of the Jama canton – Ecuador, report cards obtained from the Carmenta system, institutionalized and validated by the ministry of education called Carmenta. The variables were correlated and the hypotheses were tested using Studen's t and Sperman's r. Resulting in that 90.6% in variable one is part of a co-responsible family, likewise 9.4% expressed a medium level, while in the second variable 6.3% maintain a high level, 46.9% a medium level and 53.1% show poor school performance. While the results obtained by The Spearman are 0.030, the significance value (sig.) is 0.030 and is less than 0.05 (significance value established by the research), reaching the conclusion that there is a significant relationship between both variables.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".