Bibliographic record
Abstract
Kitimat, British Columbia was the first comprehensively planned town in the province. Built in 1954 to house the workers of Alcan, it was planned to be a town with strong social cohesion, a high quality of life, and resilient to change over time. The physical plan intended to encourage interaction while the social plan was meant to solidify those bonds, thereby developing social cohesion and community capacity supports for the town to potentially remain resilient. A triangulated research approach combines an historical analysis of Statistics Canada data, mapping techniques, as well as focus group and key informant interviews. Information obtained through the focus group and interviews is reviewed to understand the affects of the physical plan on the people and the community, and the data are further explored to determine what, if any, other factors influenced the development of social cohesion and resilience in Kitimat. With a better understanding of what encourages and prohibits interaction and the development of a sense of community, policies and plans can be developed to allow for the development of structures that encourage interaction and minimize those that inhibit it. The findings suggest that the physical organization of Kitimat encourages interaction and serves to support the development of social cohesion. Social cohesion is further developed through relationships based on factors such as ethnicity, job-type, length of residence, and interests. --P. ii.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".