Bibliographic record
Abstract
THE AREA OF CONCERN This thesis looks at two actual neighbourhoods within Vancouver - a high density urban, and a low density suburban environment. Using these neighbourhood environments, an attempt is made to see if children act or are affected in ways which can be traced to the layout and amenities of the physical environment. Data has been gathered concerning the physical structure of the environments, and is examined in relation to how the children use these environments, and in relation to the attitudes that parents, or institutions responsible for child socialization, have towards the effect of these environments on the children and themselves. THE METHODS OF INVESTIGATION This data has been gathered by my own observations, by interviewing children and key resource people who work or reside in the neighourhood, and by handing out questionnaires to parents involved with raising children in the sample areas. CONCLUSIONS The data shows that in different types of neighbourhood communities, children use and interact with the environment in different ways. It shows that the behaviour of children is modified because of the physical environment they grow up within. It shows that children of different ages and sexes have differing needs, and that their use of the environment is constantly changing as they grow and search for ways to satisfy these needs. The analysis of this data begins to show deficiencies and strengths in the planning and layout of the physical environments, and how these potentially affect children. From this analysis certain proposed solutions have been arrived at - solutions which the author feels can make the child’s environment more appropriate to his developmental needs,and more in keeping with the desires of his family and self.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".