MétaCan
Menu
Back to cohort
Record W7009399394

Estudio comparativo sobre la situación de la mujer en China, Japón y Corea del Sur

2020· dissertation· es· W7009399394 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2020
Typedissertation
Languagees
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Gender relationsSocial impactQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Este estudio compara la situación de las mujeres en los tres principales países\n\t\t\t\t de Asia oriental: China, Japón y Corea del Sur. En el estudio, se analizan y explican\n\t\t\t\t las diferencias entre los tres países en términos de políticas nacionales y sistemas\n\t\t\t\t sociales a partir de los datos relativos a cinco aspectos: demografía, economía, salud, educación y participación política. Además, en la segunda parte del trabajo se incluyen\n\t\t\t\t los resultados de un cuestionario de opinión que se utiliza para complementar las\n\t\t\t\t ideas desarrolladas en la primera parte. El estudio refleja similitudes en los tres países, en los que predomina una cultura patriarcal de raíz confuciana, pero también pone en\n\t\t\t\t evidencia diferencias derivadas del distinto desarrollo político, económico y social en la\n\t\t\t\t historia reciente. Este estudio pretende contribuir a una mejor comprensión sobre la\n\t\t\t\t vida de las mujeres asiáticas desde un punto de vista multidisciplinar y puede ser visto\n\t\t\t\t como un primer paso, muy modesto, en una línea de investigación en los estudios\n\t\t\t\t asiáticos con perspectiva de género.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.892
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0030.003
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 head0.024
GPT teacher head0.286
Teacher spread0.262 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)Same topicDemographic Trends and Gender PreferencesFrench-language works237,207