No place, like home: a look at nature as artifact and the displacement of place
Bibliographic record
Abstract
The city of Guelph, an element within one of the largest conurbations in North America, the Greater Toronto Area/Greater Golden Horseshoe, is utilized as a metonym of a more general problematic. Certain narratives, logics and instrumental rationalities inform the production of this sprawling polycentric agglomeration forming an almost continuous urban and industrially developed area. Spaces and things within the built landscape, iconic, tropic forms and definitions, recurring presences or absences and 'symptomatic' silences within media and public debate provide a means for addressing discursive productions of Nature and identity in a mapping of the present. This materialist analysis addresses the exchanges and relationships occurring beneath and behind the city's surfaces; the nature and dynamics of the socio-ecological inter-play made manifest by urbanized landscapes and the city's metabolism. Artefacts that involve an engineering of material provide rubrics for considering questions attending spaces, representations, and practices related to urbanization. The basis and topographic implications of meta-schemes created to plan and organize the city, from those of the Canada Company to current Ontario Provincial legislation, is examined. Topography is considered as a material organization within a strategic system employing cybernetic apparatuses and reproductions, consisting of texts/artefacts enrolled into structures of political economy. Intertwining natural, cultural and technological systems, Guelph reveals a practiced urban geography that is a condition and translation of relations effected by global capitalism. The built environment involves conflations of object, image and symbolic space, their practices and principles. Institutional practices and historical relations here shape and impinge upon the biophysical ground. Boundaries and the presences and absences entailed are structured, organized a
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.045 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".