Bibliographic record
Abstract
Being the existence of human’ life and activities; Space has been in close relationship between the gender and the society classes based on it. After the thoughts of feminism being introduced to the research on urban space in 1970s for the first time, gender difference in space environment is widely focused on and the research extends to the field of architecture. The establishment of “the Lab on the sexuality and space” indicates that there is more foucus on the subject. The present study is insufficient for an objective and systematic study about the gender difference and living space in special environment. Having “Wuhan Baubuting Block” and some ancient settlements in the southeast in Hubei as a case study, having carrying on the preceding literature research, exploring the theory behind the data, analyzing the transformation trend, in the perspective of humanism I suggest that eliminating the sexual difference in the living space is a way to improve the space arrangements. Key words: the sexual difference, the habitation, the space environment, humanism Resume: Being the existence of human’ life and activities; Space has been in close relationship between the gender and the society classes based on it. After the thoughts of feminism being introduced to the research on urban space in 1970s for the first time, gender difference in space environment is widely focused on and the research extends to the field of architecture. The establishment of “the Lab on the sexuality and space” indicates that there is more focus on the subject. The present study is insufficient for an objective and systematic study about the gender difference and living space in special environment. Having “Wuhan Baubuting Block” and some ancient settlements in the southeast in Hubei as a case study, having carrying on the preceding literature research, exploring the theory behind the data, analyzing the transformation trend, in the perspective of humanism I suggest that eliminating the sexual difference in the living space is a way to improve the space arrangements. Mots-Cles: the sexual difference, the habitation, the space environment, humanism
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".