Down but Not Out—A Comment on the 15<sup>th</sup> Canadian National Metropolis Conference “Building an Integrated Society”
Bibliographic record
Abstract
“Metropolis is here to stay!” stated a defiant Jack Jedwab, Executive Director of the Association for Canadian Studies, in his welcoming remarks at the 2013 National Metropolis Conference, held in Ottawa, Canada, on March 14. A product of the Metropolis Research Network, a collaborative partnership between academia, immigrant-serving community groups and all levels of Canadian government, the annual Metropolis conference brands itself as a unique outlet for sharing academic and community-based research findings with policymakers and service providers. Under the overarching title “Building an Integrated Society/Construire une Societe Integree,” the 2013 conference encompassed over 100 workshops and presentations and approximately 500 attendees (Taylor, 2013). Up until a few months prior, it had been unclear if the longstanding conference would happen at all. As of 2013, the Network had its funding decimated by the Canadian Conservative federal government, a move many settlement workers and immigration activists considered part of a deliberate strategy to undermine research documenting the needs of many vulnerable immigrant groups (Keung, 2013). Amidst widespread pessimism regarding the conference’s financial prospects, the Association for Canadian Studies, a wellknown progressive Montreal-based think-tank, stepped in at the last minute, saving the day and offering to take on financial responsibility for the event indefinitely.
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 | 0.013 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.037 | 0.048 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".