Bibliography on Immigration and Settlement in the Toronto Area, Third Edition
Bibliographic record
Abstract
"While not designated by the United Nations, as many falsely believe, as the world’s most multicultural city, Toronto in the early years of the 21 century is one of the most ethnically diverse cities in the world. Much st of this diversity has resulted from post-World War II migration to the city from all parts of the globe. Over the years, and especially during the last two decades, numerous studies have been produced in which various aspects of immigration and settlement in the Toronto area have been examined. This Bibliography, an update of earlier versions published by CERIS in 1999 and 2003, provides a listing of books, monographs, research reports, graduate theses, book chapters, and journal articles that deal with immigration and settlement in the Toronto area. Undergraduate theses are not included here. Access to some relatively obscure publications has never been easier, thanks to postings on the internet. Attention is directed to two websites in particular: www.settlement.org, which is home to a variety of community/agency-developed reports, and the ‘Search’ function found at http://ceris.metropolis.net, which provides digital access to CERIS Working Papers, the CERIS Policy Matters series, some theses, and a variety of other research reports and documents. Items available from these sites are so indicated within square brackets at the end of a citation. Moreover, readers are also directed to the Housing New Canadians website, which is located at http://www.library.utoronto.ca/hnc/biblio.htm. Two selected bibliographies, on Housing and Immigrants and Housing-Related Discrimination in Canada, can be found at this site. Items in this Bibliography cover the entire history of Toronto and include all “ethnic” and racial groups, including such institutions as the Orange Order. For ease of use, the listings have been divided into three broad categories. The first of these contains a variety of topics under the heading of Studies on Immigration and Settlement in the Toronto Area, while the second is subdivided on the basis of Studies of Particular Groups or Communities. In this edition of the Bibliography, all of the entries in this latter grouping also have been included under the appropriate category or categoriesin the first section. Several new subheadings have been added to each of these major groupings for this version of the Bibliography. A final division contains more than 150 works of fiction set in Toronto immigrant communities, with almost two dozen new entries in this edition." -- from p.iii
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.025 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.087 | 0.021 |
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".