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Record W4313591567 · doi:10.1177/17427150221149607

Conversations from around the coffee table: Exploring subaltern leadership

2023· article· en· W4313591567 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

VenueLeadership · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSubalternOppressionSociologyTokenismGender studiesDiasporaPoliticsPolitical scienceLawAnthropology

Abstract

fetched live from OpenAlex

Moving towards social justice requires a deconstruction of the current work and leadership systems that contribute to and are rooted in oppression. (Re) visioning leadership must exist outside to dismantle the dominant discourses. In the community, social justice work has the opportunity to use love and hope to guide the processes. This article presents the findings from our, the coauthor’s convivio – we are a group of women living in Canada, members of the Central American and South American diaspora. We gathered around a coffee table to discuss how leadership currently operates and the possibilities for a more collective future. What we term “subaltern leadership” represents the how we navigate our positions as leaders amidst marginalization as newcomers and as women. What evolved in this dialogue was the question of “can the subaltern lead in the current structure and nature of work?”. The findings support the notion that representation is only the beginning and can mirror tokenism when the same structures remain. To truly support subaltern leadership, a more radical shift must occur.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.312
GPT teacher head0.247
Teacher spread0.065 · 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