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Record W2938145759 · doi:10.33064/ippd41996

Familias, escuelas y estudiantes de educación superior

2018· article· es· W2938145759 on OpenAlexaff
Matías Romo Martínez

Bibliographic record

VenueInvestigación y Práctica en Psicología del Desarrollo · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicEducational Outcomes and Influences
Canadian institutionsCentre Intégré de Santé et Services Sociaux de Chaudière-Appalache
Fundersnot available
KeywordsHumanitiesSociologyPhilosophyPsychology

Abstract

fetched live from OpenAlex

Se presentan resultados de una investigación con estudiantes de educación superior, ideas respecto de su propia familia y la relación que ésta ha tenido con las escuelas a las que aquéllos han asistido. Existen múltiples trabajos acerca de la relación escuelas-familias en la educación básica, pero no en educación superior. Si se considera estos dos ámbitos como los principales responsables de la socialización primaria, la aparente distancia que van tomando los estudiantes respecto de sus familias conforme se avanza en los niveles educativos, sólo se esperaría en términos de un desarrollo de la autonomía durante la juventud. Los resultados obtenidos reflejan un “arropamiento” familiar importante y constante durante toda su trayectoria; además, se muestran respuestas de estudiantes universitarios y de tres Escuelas Normales, todos en Aguascalientes. En la mayoría de los casos pareciera que prevalecen familias tradicionales y estables que pueden ofrecer buenas condiciones para los estudios

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.024
GPT teacher head0.340
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2018
Admission routes1
Has abstractyes

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