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Record W2346670249 · doi:10.5539/ach.v8n2p32

Representation of Males and Females in Myanmar Culture through a Selection of Myanmar Literary Works in English

2016· article· en· W2346670249 on OpenAlexvenueno aff
Tin Moe Yi

Bibliographic record

VenueAsian Culture and History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsGender studiesSociologyRepresentation (politics)Selection (genetic algorithm)Gender equalityHistoryPsychologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

<p class="1Body">In Myanmar, although men and women have equal rights under the customary law, conservative cultural belief prevents to enjoy these rights between men and women. Therefore men are still superior and women are subordinate in Myanmar society. To reach a better understanding of whether equality exists between men and women in Myanmar society, a particular type of literary work which is reflection of Myanmar culture can be explored. Therefore, Myanmar short stories, written originally in English by Myanmar author Daw Khin Myo Chit and the selection of Myanmar short stories written originally in Myanmar by various kinds of Myanmar authors but translated into English by Myanmar writer Ma Thanegi, are chosen to be investigated. The aim of the present study is to investigate the way in which males and females are represented in Myanmar short stories which reflect Myanmar culture. Gender analysis by Khurshid, Gillani, and Hashmi (2010) is conducted to analyze the data. The quantitative and qualitative methods were used to analyze short stories. It is found that the data found in Daw Khin Myo Chit’s short stories and Ma Thanegi’s translated works were the same. The results showed that there is no significant difference between males and females except occupational roles. It can also be observed that in analyzing Myanmar short stories, although women play the important roles as equal as men in most cases, women are still inferior rather than men according to Myanmar culture and Myanmar tradition.</p>

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.287
Teacher spread0.263 · 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
Published2016
Admission routes1
Has abstractyes

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