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
Winner, Northwords Book Award 2022 Short-listed, Saskatoon Public Library Indigenous Peoples’ Publishing Award 2022 Stories are medicine. During a time of heightened isolation, bestselling author Richard Van Camp shares what he knows about the power of storytelling—and offers some of his own favourite stories from Elders, friends, and family. Gathering around a campfire, or the dinner table, we humans have always told stories. Through them, we define our identities and shape our understanding of the world.   Master storyteller and bestselling author Richard Van Camp writes of the power of storytelling and its potential to transform speakers and audiences alike.   In Gather , Van Camp shares what elements make a compelling story and offers insights into basic storytelling techniques, such as how to read a room and how to capture the attention of listeners. And he delves further into the impact storytelling can have, helping readers understand how to create community and how to banish loneliness through their tales. A member of the Tlicho Dene First Nation, Van Camp also includes stories from Elders whose wisdom influenced him.   During a time of uncertainty and disconnection, stories reach across vast distances to offer connection. Gather is a joyful reminder of this for storytellers: all of us.
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 | 0.002 | 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 | 0.000 |
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