Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".