Bibliographic record
Abstract
In the editorial of docomomo Journal 28 , published in March 2003 and inaugurat- ing her tenure — as editor-in-chief of the magazine, Maristella Casciato undertook to consider “modernism outside the West” and to encourage “new cultures and new histories”, whilst simultaneously enriching the docomomo International network. She brought this intellectual endeavor with her to the position as Associate Director, Research at the Canadian Centre for Architecture (CCa) in Montreal. Working alongside Tom Avermaete, she co-curated the exhibition: How Architects, Experts, Politicians, International Agencies and Citizens Negotiate Modern Planning: Casablanca Chandigarh, presented at CCa during the Winter 2013–2014 season. They also co-authored Casablanca Chandigarh: A Report on Modernization, the book published to coincide with the exhibition. A preamble to these projects lies in the CCa’s acquisition, in 2010, of architect Pierre Jeanneret’s per- sonal archives, mainly pertaining to projects developed during the period from 1951 to 1965 when he renewed his association with his cousin, Le Corbusier, for the planning and construction of a new capital for the Indian Punjab following the Partition (1947).
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".