Re-contextualizing the architectural learning experiences: the alternative perspective (Part V)
Bibliographic record
Abstract
Canadian Aboriginal students struggle to situate their cultural knowledge within a Eurocentric academy, in part because indigenous ways of knowing are informed by a philosophy that is characterized by ‘interconnected’ relationships rather than an isolated system of thought. In accordance with this worldview, this report is shaped by a series of 'interdisciplinary' discussions with the intent to establish an ethical middle ground (or space) for architectural learning that does not exclude an Aboriginal worldview. Supported with a different set of hermeneutic principles the report addresses the need to preserve indigenous knowledge systems thereby encouraging architectural Education in Canada to facilitate and help re-contextualize aboriginal traditions. As a result, this thesis attempts to create an enduring intellectual space for future aboriginal students where they are encouraged to “live the story of their created object” while forging renewed identity pieces in a shared cross-cultural context.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.046 |
| Scholarly communication | 0.022 | 0.007 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| 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".