Bibliographic record
Abstract
Bienvenue au numro 15(2) de la Revue canadienne de recherche sur les OSBL et l'conomie sociale (ReCROES).Dans ce numro, nous prsentons quatre articles scientifiques, trois contributions la rubrique Perspectives sur le terrain , et deux critiques de livre.Avant de nous concentrer sur la description du contenu, nous tenons remercier comme toujours toutes les personnes ayant contribu la russite de ce numro, en premier lieu les auteurs et les valuateurs, le comit de rdaction, et le personnel de support technique.Le travail de toutes ces personnes est fondamental.Nous sommes galement ravis d'annoncer que nous avons t accepts sur la plateforme rudit (erudit.org),un consortium interuniversitaire pancanadien compos de l'Universit de Montral, de l'Universit Laval et de l'Universit du Qubec Montral.Nous croyons que notre prsence sur cette plateforme permettra de rendre notre revue encore plus accessible aux auteurs et lecteurs francophones.Les trois premiers articles scientifiques du numro traitent, partir de perspectives et contextes diffrents, d'organisations communautaires et d'engagement civique.Le premier le fait en tudiant l'engagement civique et communautaire comme tel, le deuxime en tudiant le secteur communautaire Welcome to issue 15(2) of the Canadian Journal of Nonprofit and Social Economy Research (CJNSER).In this issue, we feature four research articles, three contributions to the "Perspectives from the Field" section, and two book reviews.Before we focus on describing the contents, we would like to thank, as always, all those who contributed to the success of this issue-first and foremost, the authors and reviewers, the editorial board, and the technical support staff.The work of all these people is fundamental.We are also excited to announce that we have been accepted to the rudit platform (erudit.org), a pan-Canadian interuniversity consortium consisting of Universit de Montral, Universit Laval, and Universit du Qubec Montral.We anticipate that our presence on this platform will expand even more our reach to francophone authors and readers.The first three scientific articles of this issue deal with community-based organizations and civic engagement from different perspectives and contexts.The first does so by studying civic and community engagement, the second by examining the nonprofit commu-
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".