Bibliographic record
Abstract
ABOUT GO SHOW THE WORLD\n“We are a people who matter.” Inspired by President Barack Obama’s Of Thee I Sing, Go Show the World is a tribute to historic and modern-day Indigenous heroes, featuring important figures such as Tecumseh, Sacagawea and former NASA astronaut John Herrington.Celebrating the stories of Indigenous people throughout time, Wab Kinew has created a powerful rap song, the lyrics of which are the basis for the text in this beautiful picture book, illustrated by the acclaimed Joe Morse. Including figures such as Crazy Horse, Net-no-kwa, former NASA astronaut John Herrington and Canadian NHL goalie Carey Price, Go Show the World showcases a diverse group of Indigenous people in the US and Canada, both the more well known and the not- so-widely recognized. Individually, their stories, though briefly touched on, are inspiring; collectively, they empower the reader with this message: “We are people who matter, yes, it’s true; now let’s show the world what people who matter can do.”
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".