Dwelling Characteristics of Geese Families based on the Analysis of Sleeping and Studying Patterns in Vancouver
Bibliographic record
Abstract
This study examined the changes in sleeping and studying patterns of young students and their mothers after moving to foreign countries. This study analyzed the relational characteristics of Geese Family members which are summarized as follows: 1) Sleeping Pattern: At the early stages of settling into foreign countries, students begin to sleep in the same bedroom with their mothers, who had used to sleep in separate bedrooms back in Korea. This change in pattern may slightly vary according to the age and gender of the students, and type of residence. Relationships between young students and mothers become more tightly coupled. However, relationships between students and fathers become less tightened. 2) Studying Pattern: Students tend to study in the public space such as the living room and dining areas, rather than in their own private rooms. This is because mothers want to support and focus upon their children's study by sacrificing normal family activities. These patterns appear stronger as their period of study in the foreign country becomes shorter and the ages of the students become younger. These studying patterns also contribute to the coupling between mothers and young students. 3) Family Relationships: From the period as Geese Families, the relation between mothers and young students become closer both physically and emotionally. The relation between fathers and children become less close. The role of fathers is degraded to that of supporter or negotiator for the time period of the mothers and child students in the foreign country.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".