The Annual Canadian Sociological Association Conference 2023. Research Cluster: Sociology of Housing
Bibliographic record
Abstract
From May 29 to June 2, 2023, the Annual Conference of the Canadian Sociological Association was held at York University in Toronto, where various academic, research, educational, and administrative topics were discussed. The conference was part of the Congress of the Canadian Federation for the Humanities and Social Sciences and attracted speakers and attendees from Canada and other countries. Notably, for the first time since 2003, a research cluster focusing on the sociology of housing was presented, which had been initiated within the association at the end of 2021. Participants included scientific and pedagogical professionals, students, practitioners, and independent researchers, who engaged in two sections dedicated to sociological studies of housing and homelessness. Discussions covered a range of topics including chronic homelessness among women, mobile homelessness, the risk of homelessness among youth, attitudes towards the homeless, housing conditions of different social groups, and housing precarity. Special attention was given to state housing policy and the federal 'Housing First' strategy, the outcomes of which are subject to debate. The reports presented by the Sociology of Housing Research Cluster are of great interest to researchers focusing on housing issues in liberal democratic countries, including Canada, and to sociologists interested in developing housing sociology in Russia based on international experiences.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.170 | 0.055 |
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".