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Record W2186922445 · doi:10.15390/eb.2015.2930

A Metaphoric Analysis Regarding Gender Perceptions of Preservice Teachers

2015· article· en· W2186922445 on OpenAlexaboutno aff
Gülay Aslan

Bibliographic record

VenueTED EĞİTİM VE BİLİM · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionPrejudice (legal term)PsychologyQuarter (Canadian coin)CertificationGender biasMetaphorQualitative analysisTeacher educationQualitative researchPedagogySocial psychologySociologyPolitical scienceLinguisticsSocial science

Abstract

fetched live from OpenAlex

The aim of the study is to determine the gender perceptions of preservice teachers through the metaphors they describe women and men. It is a qualitative study conducted with content analysis. Data was collected through a semi-structured questionnaire from 510 final year students and preservice teachers attending teacher certification program at the Gaziosmanpaşa University Faculty of Education. The study showed that the preservice teachers had gender prejudice supporting the patriarchal family structure. About half of the preservice teachers described women using metaphores emphasizing that women were “slender, sensitive, and needing attention”. Here, the most frequently used metaphore was “flower”. More than a quarter of the preservice teachers (31.2%) described men using metaphores emphasizing that men were “rude, tough, and insensitive”. Here, the most frequently used metaphore was “log”. Also, while both genders had significantly positive perceptions for themselves, they had significantly negative perceptions for the opposite gender. Thus, there is a need to create gender awareness in all parts of the society starting from the education faculties, and to develop policies for gender equality.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.098
GPT teacher head0.352
Teacher spread0.254 · 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

Citations37
Published2015
Admission routes1
Has abstractyes

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Same venueTED EĞİTİM VE BİLİMSame topicGender Roles and Identity StudiesFrench-language works237,207