Conference Explores African Faith-Based Activism in Canada and the Western World
Bibliographic record
Abstract
TORONTO, April 20, 2016 – In what ways have African religious movements shaped or affected Western states and society and what are the implications for theories on the relationship between the Global North and the Global South?\nThat will be the core question underpinning a scholarly conference at York University’s Osgoode Hall Law School on Friday, April 29, 2016 that will bring together leading intellectuals and practitioners in law and other disciplines from Canada and beyond to listen to each other’s prepared papers, engage in debates, and work toward the formation of an international research network.\nThe conference will offer a unique platform for national and international academics and religious leaders to examine this question in-depth from an interdisciplinary lens and exchange ideas with the purpose of moving the research agenda on faith-based activism among continental and diasporic Africans forward.\nWHAT: African Faith-based Activism in Canada and the Western World: Law, Politics and Socio-Economics. See agenda.\nThe conference is organized by Obiora Chinedu Okafor, Osgoode Professor & York Research Chair in International and Transnational Legal Studies, and Uwafiokun Idemudia, Associate Professor and Director of the Transition Year Program, York Department of Social Science.\nThe event is supported by Osgoode/York@50, the Jack and Mae Nathanson Centre (main organizing unit), Founders College and York’s African Studies and International Development Studies Program.\nWHEN: Friday, April 29, 2016 from 9 a.m. to 5 p.m.\nWHERE: Osgoode Hall Law School, Ignat Kaneff Building, Room 2027. See # 32 on the map.\nYork University is known for championing new ways of thinking that drive teaching and research excellence. Our 52,000 students receive the education they need to create big ideas that make an impact on the world. Meaningful and sometimes unexpected careers result from cross-discipline programming, innovative course design and diverse experiential learning opportunities. York students and graduates push limits, achieve goals and find solutions to the world’s most pressing social challenges, empowered by a strong community that opens minds. York U is an internationally recognized research university – our 11 faculties and 24 research centres have partnerships with 200+ leading universities worldwide.\nMedia Contact: Virginia Corner, Communications Manager, Osgoode Hall Law School of York University, 416-736-5820 or vcorner@osgoode.yorku.ca
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.034 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.001 |
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".