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
An intimate and personal account of the profound roles birds play in the lives of some Indigenous people For many hours over a period of years, white anthropologist Dennis Gaffin and two Indigenous friends, Michael Bastine and John Volpe, recorded their conversations about a shared passion: the birds of upstate New York and southern Ontario. In these lively, informal talks, Bastine (a healer and naturalist of Algonquin descent) and Volpe (a naturalist and animal rehabilitator of Ojibwe and Métis descent) shared their experiences of, and beliefs about, birds, describing the profound spiritual, psychological, and social roles of birds in the lives of some Indigenous people. Birds through Indigenous Eyes presents highlights of these conversations, placing them in context and showing how Native understandings of birds contrast with conventional Western views. Bastine and Volpe bring to life Algonquin, Ojibwe, and Haudenosaunee (Iroquois) beliefs about birds. They reveal how specific birds and bird species are seamlessly integrated into spirituality and everyday thought and action, how birds bring important messages to individual people, how a bird species can become associated with a person, and how birds provide warnings about our endangered environment. Over the course of the book, birds such as the house sparrow, Eastern phoebe, Northern flicker, belted kingfisher, gray catbird, cedar waxwing, and black-capped chickadee are shown in a new light—as spiritual and practical helpers that can teach humans how to live well. An original work of ethno-ornithology that offers a rare close-up look at some Native views on birds, Birds through Indigenous Eyes opens rich new perspectives on the deep connections between birds and humans.
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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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