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Record W3167160933 · doi:10.7939/dvn/epsjjr

List of Canadian independent, scholarly journals (2020)

2021· dataset· en· W3167160933 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBorealis · 2021
Typedataset
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsUniversity of AlbertaMcGill University
Fundersnot available
KeywordsLibrary sciencePublishingScholarshipPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

This data set contains a list of active, Canadian independent, scholarly journals compiled as a part of the "Documenting labour in Canadian academic publishing" research study. The data was collected between October 2019-April 2020, and reviewed and updated in July-August 2020. For the purposes of this project, the following inclusion criteria were used: Canadian: a minimum of one-third of the core editorial board is affiliated with an eligible Canadian post-secondary institution. We used this as the primary criteria and not whether or not the journal title is owned by a Canadian not-for-profit organization. As we are interested primarily in labour, limiting it based on the editorial board was natural for this study. Independent: A journal is not affiliated with a commercial publisher (e.g. Springer, Elsevier, Sage, etc.). Non-profits, like Érudit and University of Toronto Press, were included in the project. Scholarly: defined as a peer-reviewed academic publication that disseminates the results of original scholarship. We have excluded additional student-run journals as per the SSHRC guidelines as well. Active: The journal has published in the last 3 years. The second list is of the journals that we removed from our original data collection that did not meet the above criteria when reviewed. For more information on the project, you can see the presentation slides from the 2020 Library Publishing Forum when the initial results were discussed: https://escholarship.mcgill.ca/concern/presentations/7w62fd646?locale=en and Lange, J. & Severson, S., (2021) “What Are the Characteristics of Canadian Independent, Scholarly Journals? Results from a Website Analysis”, The Journal of Electronic Publishing 24(1). doi: https://doi.org/10.3998/jep.153.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0090.003
Open science0.0090.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.107
GPT teacher head0.395
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it