Editors' Note / Note des éditeurs
Bibliographic record
Abstract
The Canadian Graduate Journal of Sociology and Criminology (CGJSC) came to be from an impromptu idea during a professional development seminar for Sociology PhD students at the University of Waterloo.While discussing the perils of graduate publishing, we realized that the opportunities for graduate students to learn the culture of academic publication were few and far between.Many of us felt confused, afraid and that we did not have proper knowledge of the publication process to confidently submit material to existing journals.A discussion ensued about how graduate conferences are legitimate stepping-stones into the life of a professional academic; yet, there was nothing comparable for our written work.While other graduate journals and publication platforms exist, it became rapidly evident to us that the levels of academic rigour akin to the actual publication process were lacking.We set out to create a journal in which graduate students can share and publish their research in a manner reflecting the realities of professional academic publication, while espousing an understanding and didactic approach.We strive to be the best journal that we can be, mirroring the academic standards of other peer-reviewed publications, while concurrently understanding that the graduate experience is about learning and growing.Through our use of an open-access journal format, social networking platforms, and other communication technologies, our hope is to be accessible and pivotal in uniting graduate scholarship across Canada.At its heart, CGJSC is a journal for graduate students, by graduate students across Canada and beyond.To foster inclusiveness, we chose to make our journal bilingual to reflect the multicultural and multilingual nature of Canada.Though centered on the disciplines of sociology and criminology, in keeping with our philosophy of inclusivity, we actively encourage contributions and involvement from Masters and Doctoral students across all the social sciences.Becoming involved with CGJSC is not just limited to publishing, but includes editorial tasks such as peer-reviewing, copy-editing, manuscript selection, among other roles.CGJSC could not have been established without the dedication of numerous individuals.First and foremost, we would like to thank the University of Waterloo department of Sociology and Legal Studies for both material support and guidance, in particular the encouragement of Dr. Lorne Dawson.The efforts of Dr. Peter Carrington and Dr. Jennifer Schulenberg were also critical during our formative stages.Their editorial expertise was an invaluable asset in learning how a high-quality journal should operate.The University of Waterloo Library Services provided CGJSC with much needed technical support.The efforts of Tim Ireland, Chris Gray, Graham Faulkner and Pascal Calarco were fundamental in laying the foundation of establishing our journal's infrastructure.Additional thanks go out to our faculty advisory board who continue to champion our cause in many departments across Canada.Lastly, we would like to acknowledge the integral contribution of our anonymous peer-reviewers.Peer-reviewers are the cornerstone of the publication process, and without their hard work, this issue would not have been possible.We hope you enjoy reading our first issue, and all the issues to come.The task of publishing a graduate journal has been a challenging but rewarding experience for uswe hope the fruits of our (and your) labour will be enjoyed by our readership for many years to come!
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 | 0.007 | 0.060 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.030 | 0.026 |
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".