Being an Ally and Using your Voice with Cassidy Kerr
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
Join the sisters this week as they connect over zoom with Cassidy Kerr. Due to the COVID-19 pandemic the sisters have chosen to record all episodes via zoom until safe to see each other again. This weeks guest speaker is Cassidy, she is a 27 year old female pursing her social degree at the First Nations University of Canada. She was born and raised in Wolseley, Saskatchewan. Being raised in a small town Saskatchewan that is surrounded by Indigenous communities Cassidy was unaware of the history of Indigenous people and residential schools. It wasn't until she reached University where she began to realize the lack of Indigenous education she was provided growing up. She shares her thoughts, feelings and gives insight into her experiences and why she choses to advocate so hard for Indigenous programs in her professional life and personal life. Throughout the episode there is lots of laughing and jokes to be had, so grab your tea, coffee or a can of pepsi and join us for this episode.
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 | 0.000 |
| 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) | 0.015 | 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 it