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Sex Transvestism and Education of the Only Child

2010· article· en· W1943749418 on OpenAlexvenueno aff
Xiaoqing Sun, Zheng Yan

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsTransvestismHumanitiesPsychologySociologyGender studiesArt

Abstract

fetched live from OpenAlex

As a special group of the society, only children are concerned by the whole society for their mental and physical development and their education. Childhood is the time when individuals begin to form their recognition of sex. But the education on this has not been especially regarded. Some children even have the problem of sex transvestism. In this paper, I will introduce my opinion on how to help children build up a correct cognition on sex, develop multiple behavior patterns for different sex roles, and adapt to the society more smoothly. Key words: only child, sex cognition, role transvestism, education Resume: Les enfants uniques sont un groupe social special, leur developpement physique et mental ainsi que le probleme de leur education ont attire l’attention generale de la societe. L’enfance est l’epoque cle de la formation du role sexuel de l’individu, mais l’education sur le role sexuel n’est pas tenue en compte depuis longtemps, le pire est que le transsexualisme apparait chez certains enfants. Il nous faut instaurer la conception correcte du role sexuel des enfants, developper de multiples modeles de comportement sur le role sexuel, afin d’aider les enfants uniques a mieux s’adapter au changement de l’environnement social. Mots-cles: enfant unique, identification sexuelle, transposition du role, contre-mesures educatives 摘 要:獨生子女作為特殊的社會群體,其身心的發展與教育問題引起社會各界的廣泛關注。兒童時期是個體性別角色形成的關鍵時期,但性別角色教育問題長期得不到應有的重視,甚至出現部分兒童的性別角色錯位現象。樹立正確的兒童性別角色培養觀,發展多種性別角色行為模式,來幫助獨生子女更好地適應社會環境的變化。 關鍵詞: 獨生子女;性別認同;角色錯位;教育對策

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.164

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 head0.009
GPT teacher head0.302
Teacher spread0.293 · 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 designBench or experimental
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
Published2010
Admission routes1
Has abstractyes

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