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Record W7046110784

Corresponsabilidad de la Familia y Desempeño Escolar en Instituciones de EGB de Jama, Ecuador

2023· article· en· W7046110784 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryQuarter (Canadian coin)PopulationValue (mathematics)Subject (documents)Variable (mathematics)VariablesBasic educationSchool education
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.327
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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