On decentring ethnicity in buildings research: The settler homestead as assemblage
Bibliographic record
Abstract
The concept of ethnicity is a prevailing explanatory device in studies of colonial architecture. This paper argues for decentring ethnicity in buildings research through treating buildings as ‘assemblages’ of both material and social ‘things’. Drawing on a case study from the late 19th-century settler landscape of Manitoba, Canada, we illustrate how settler architecture – conceived of as an ‘assemblage’ – can shed light on the events, processes and material consequences of homesteading in a new land. Through decentring ethnicity as a determining factor in building projects, the role of settler architecture as a material indicator of resistance or assimilation becomes more easily questioned. An archaeological interpretation of buildings as assemblages draws attention towards their materiality and the embodied experiences of building by highlighting the historical and geographical contingencies of the settlement landscape.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.015 | 0.064 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| 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".