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Record W2138232393 · doi:10.5539/ass.v7n12p168

Gender Studies in Teacher Education: An Empirical Research

2011· article· en· W2138232393 on OpenAlexvenueno aff
Aneela Sultana, Ahmad Sohaimi Bin Lazim

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionGender identityEthnic groupEmpirical researchField (mathematics)SociologyPsychologyHigher educationClass (philosophy)Educational institutionProcess (computing)Intersection (aeronautics)Gender studiesPedagogySocial sciencePolitical scienceEngineeringEpistemology

Abstract

fetched live from OpenAlex

Gender studies is an interdisciplinary field of study which focuses the phenomenon of gender. The study of gender helps us to broaden our understanding of gender identity and culture, the intersection of gender with race and ethnicity, class and sexuality. Gender has become a very important word in discussions on development. From this approach, University Pendidikan Sultan Idris (UPSI) has developed a module namely Gender Studies in Malaysia. Sultan Idris University of Education (UPSI) is a Public Institution of Higher Education (IPTA) which is basically an institution for school teacher. The article argued that this course has important impact on teacher education as they directly deal with human. The primary objective of this course is to provide knowledge and skills related to the concept and theories of gender and gender relation. The course is intended to enhance students understanding of gender from socio-cultural and religious perspective. This course also discusses how gender relations have influenced in the fields of international relations, international development, and education. Hence, this course plays an important role in the process of learning and developing human behaviour among the students at UPSI. Gender Studies has an important impact on the development of human behaviour among UPSI students as it expands knowledge and skills on gender issue. Although the course has an important aspect in the process of learning, there are obstacles behind of its full implementation. The article discusses problems and prospects of Gender Studies in the process of learning based on author’s own experience and preliminary investigation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.003
Scholarly communication0.0000.001
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 head0.499
GPT teacher head0.554
Teacher spread0.054 · 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.

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

Citations11
Published2011
Admission routes1
Has abstractyes

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