Bibliographic record
Abstract
Paleja, S.N. Native Americans: a visual exploration. Toronto: Annick Press, 2013. Print. This book is a non-fiction text using graphics to cover topics as diverse as Aboriginal arrival, culture, language, food, housing, and the environment to present-day Aboriginal issues. It is chock-full of information using a variety of non-linguistic representations, such as graphs, pictographs, and a variety of graphic organizers in the form of timelines and other visuals. The colourful pictures help to draw children’s interest and they also help reluctant readers access the content. A major drawback of the text is that too much information is covered, which means that many of the facts have been overgeneralized and can result in children applying the content to all aboriginal groups. There are occasional problems with diction, such as using the word “tribes” instead of “First Nations”. Also, there should have been more focus on their culture, what issues they face, and how those issues are dealt with in their communities. The book is intended for children ages 9-12 but too often, the language used is difficult for readers at this age. In an attempt to include a vast amount of information the graphics become confusing and are difficult to interpret. This book is a good starting point for those interested in this topic and is certainly recommended reading for an elementary school. The timelines and information capture some of the most important points in the historical development of the Aboriginal Peoples. Recommended: 3 out of 4 stars Reviewer: Alicia OdeenAlicia worked for 5 years in a high school library before getting her dream job at the Bruce Peel Special Collections Library. She now spends most of her time reading stories about dinosaurs, robots, and trains with her 3 year old son William.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".