MétaCan
Menu
← Back to cohort
Record W6911049245 · doi:10.5061/dryad.stqjq2cd1

Data from: A framework for sharing power in research teams and promoting justice in scientific publication

2025· dataset· en· W6911049245 on OpenAlexaffabout

Bibliographic record

VenueOpen MIND · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsPublishingCorporate governanceCitationPower (physics)Economic JusticeLatin AmericansWork (physics)Ornithology

Abstract

fetched live from OpenAlex

Many ornithologists seek tools to work more equitably with people from historically marginalized and exploited groups. We developed a process to promote collective construction of ornithological knowledge in the special feature "Ecology and conservation of cavity nesters in the Neotropics'' for the journals Ornithology and Ornithological Applications. Colonialism produces systems that consecrate eurocentric ideas from dominant nations (including Canada, USA, and countries of western Europe) and reinforce hierarchies of power between and within regions. Recognizing these systems, we proposed a special feature to support, highlight, and connect teams from Latin America, a region historically exploited by imperial powers. We adopted sociocracy, a governance model that promotes sharing of power, to create the proposal and organize the call for papers and to write a review and this perspective article. We adopted and developed transparent, consent-based decision-making processes, including a process for determining authorship order. We crafted open invitations, used collective proposals (structured brainstorming), encouraged citation of work from regional journals, tested a system for manuscript submission and review in Spanish, and introduced mechanisms for multi-way feedback. This framework helped reduce some barriers commonly faced by historically marginalized authors, distribute power more equitably, and recognize a broader diversity of contributions to ornithology. Despite these efforts, several challenges remained. For example, the publishing interests of Ornithology, Ornithological Applications, and most high impact ornithological journals are often poorly aligned with current research priorities in many parts of Latin America (e.g. reproductive biology of endangered species). We encourage scientists at all career stages, technicians, and non-academics to reflect on their citation politics (which sources they cite, and how their citation practice may unintentionally reproduce inequities), and to implement collective workflows that promote equitable sharing of power within research teams.

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 imitation

Not 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.

metaresearch head score (Codex)0.463
metaresearch head score (Gemma)0.581
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Open science
Consensus categoriesMetaresearch
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.662

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4630.581
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0230.020
Science and technology studies0.0170.032
Scholarly communication0.0410.050
Open science0.0110.031
Research integrity0.0160.010
Insufficient payload (model declined to judge)0.0270.008

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 head0.326
GPT teacher head0.517
Teacher spread0.191 · 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

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainIncentives
GenreDataset

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueOpen MIND→French-language works237,207→