The roles of nature and environmental experiences in integrating a newcomer to Canada : an autoethnographic account of an East African becoming Canadian
Bibliographic record
Abstract
It is the purpose of this thesis to explore the influence of Canada’s natural environment and the meme of environmentalism on the adaptation of newcomers to Canada. To that end, the author has chosen an autoethnographic design whereby he delves into his personal story in an effort to bring the unquantifiable part of the story to the fore. Through this research design, the writer attempts to revisit his societal and cultural upbringing by going back in time and telling his story. While recognizing that integrating into a new country engages social, cultural and economic factors, this autoethnography includes the natural environment and interactions with it as significant parts in a newcomer’s integration. Through revisiting his journey in becoming a new Canadian, the writer discusses and reflects on his early upbringing and cultural contexts as well as his prior perceptions of nature and describes the roles these played as influences on his adaptation to the new Canadian environment.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.043 | 0.024 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".