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Record W4389250288 · doi:10.1080/0969160x.2023.2270460

On the SEAJ Ethos: Mentorship and Peer Review

2023· article· en· W4389250288 on OpenAlex
Oana Apostol, Colin Dey, Michelle Rodrigue

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.

Bibliographic record

VenueSocial and Environmental Accountability Journal · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEthosScholarshipMentorshipTransformative learningSociologyAnalogyInjusticePublic relationsPerspective (graphical)PublishingPolitical scienceEngineering ethicsEnvironmental ethicsEpistemologyLawPedagogy

Abstract

fetched live from OpenAlex

These editorial reflections revisit SEAJ's mentoring ethos, outlining how we embrace it as joint editors. To this end, we mobilize the caretaker analogy, hoping to convey the nurturing position we strive to adopt in our role, which involves valuing each other's intellectual contributions and promoting social and climate justice through the pursuit of transformative quality research and scholarship while proactively responding to issues of inequity and injustice using the levers we have at our disposal. In light of the recent resurfacing of wider concerns over peer review process in scientific publishing, we continue these reflections through considerations of what embracing the SEAJ ethos implies in the peer review process, humbly hoping to recognize and respect the valuable contribution reviewers make to the journal while also developing a community-based perspective on peer review (Souder, 2011).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.286
Teacher spread0.228 · 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