“We are not alone in the world”: Creating possibilities for transnational radical relationality, epistemic justice, and expanded ecologies of knowledge through the Indaba podcast.
Bibliographic record
Abstract
Departing from the premise that contemporary psychological knowledge and praxis are dominated by a philosophy of science privileging an individualistic perspective from predominantly Northern and Western industrialized contexts, this article traces an instance of disrupting such epistemic hegemony through a decolonial lens employing podcasting technologies to nurture and grow relational global connections. We weave together our stories of building our global collective of decolonial and critical scholars and developing our cocreated global podcast: Indaba. Through digital platforms, and in-person gatherings, we came together to share alternative and contextually rooted psychological knowledges from our respective, and often isolated, locations. Our explorations through these dialogues and exchanges provide insights into the borderless dynamics of coloniality/Western modernity. The particularities of our struggles across different histories and geographies are premised upon our specific loci of enunciation. Our learnings, through podcast development, reveal how multimodal approaches to knowledge creation disrupt normative listening practices and expand our critical listening positions and ways of representing and engaging with knowledges produced at the margins, iteratively expanding psychological knowledges. Multimodal knowing is part of a process that goes beyond knowledge dissemination and is a democratizing strategy where our practices instead move knowledges beyond the academy through more accessible distributional regimes, opening them to expressions of coloniality and decoloniality in our experiences and encounters in the world. This process itself is a reflection of the everyday "decolonial love" and "creative labor" we need to catalyze and sustain social transformation while at the same time transforming ourselves. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".