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Record W2338322115 · doi:10.1177/1541344616634889

Addressing Power in Conversation

2016· article· en· W2338322115 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.

Bibliographic record

VenueJournal of Transformative Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTransformative learningReflexivityConversationParticipatory action researchSociologyCitizen journalismPower (physics)PsychologyAction researchAction (physics)PedagogyPolitical scienceSocial scienceCommunication

Abstract

fetched live from OpenAlex

The World Café (TWC), used as an effective conversational tool around the world, shares several tenets with other participatory approaches to learning and development. It has not been critiqued, however, for its insufficient attention to reflexivity, power differentials, and structural inequalities within its process, specifically in relation to TWC facilitators. As a group of women from diverse social locations and backgrounds committed to the pursuit of social justice, we sought this opportunity to explore and investigate the transformative learning capacities of TWC, with the broader goal of enhancing its usability in education and community settings. We reviewed and critiqued TWC conversation approach, suggesting stronger links to liberatory education and transformative learning theories. Using a participatory action research process leading to cocreated knowledge, we developed an Emancipatory Learning Charter, a new tool that can enhance the transformative learning potential of TWC.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.232

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.380
Teacher spread0.337 · 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