Bibliographic record
Abstract
Welcome to Subaltern Speaks, the official podcast of the Multi-Faith Centre at the University of Toronto. In this podcast we explore the legacies of colonialism and the religions and spiritualities of colonized peoples, otherwise known as Subaltern in post-colonial studies. Follow us for new episodes coming soon! Transcript Welcome to Subaltern Speaks, the official podcast of the University of Toronto's multi-faith centre. Subaltern speaks is for spiritual study and practice. In this podcast, we explore the legacies of colonialism, the religion and spiritualities of colonized peoples, otherwise known as subaltern in post-colonial studies. I'm Yasamin, I'm Manvinder, and I'm Savroop. We're students at U of T and we are your hosts for the first season. Together with leading thinkers, academics, activists, artists, and spiritual leaders in our communities and beyond we seek to dismantle how colonialism and decolonization are understood and how they continue to be practiced today. We'll cover themes such as resistance, the evolution of culture and spirituality, migration, and decolonization. Head to Spotify, Apple podcasts, or wherever you listen to podcasts to tune in to our first episode where we chat with holistic wellness educator Navi Gill about Ayurvedic and yoga practice in the West, Sikh spiritual identity, and immigrant complicity in settler colonialism. We hope you'll tune in.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.886 | 0.011 |
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; both teacher heads agree on what is shown here.
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".