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.
Bibliographic record
Abstract
The Auntie Dialogues is a special journal issue of "The Auntie Is In" podcast scripts. This decolonial approach to research dissemination is aimed at layering Indigenous storytelling alongside written literature. In the sixteen episodes presented in Season One, Dr. Paulina Johnson, or the Auntie, bridges her approach with an “Auntie” mentality to address misconceptions and stereotypes about Indigenous peoples and cultures and better inform listeners of Indigenous realities. The podcast does not solely look at damage or deficit but also the vibrancy of Nehiyawak culture including knowledge relating to creation stories, traditions, ceremonies, and much more. Dr. Johnson is Nêhiyaw or Paskwâw-iyiniw, four-spirit or a prairie person, from Nipisihkopahk, Samson Cree Nation in Maskwacis, Alberta. The Nehiyawak are an oral culture, meaning they share information, through stories, songs, and everyday conversations, and the podcast allows Dr. Johnson to maintain that connection to her people and how knowledge can be shared and importantly to be as straightforward as needed as your own auntie would be to you. By grounding each podcast episode in ceremony and sharing the oral narratives and her own stories and experiences Dr. Johnson is able to facilitate the learning and unlearning needed for decolonization and importantly, reconciliation. These articles are the dialogues of the Auntie is in.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| 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 | 0.001 |
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 it