Intuition and animism as bridging concepts to Indigenous knowledges in environmental decision-making
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
This study reports on student responses to ENVS 811: Multiple ways of knowing in environmental decision-making, a graduate level course which focuses on helping students come to some understandings of the connections between their own knowing and Indigenous ways of coming to know as they prepare for both professional and research careers in the environmental field.Although the inclusion of Indigenous knowledges into resource management decision-making processes is increasingly being recognized as important, effective application remains elusive.Lack of understanding, or acceptance, of the broad scope of Indigenous knowledges continues to make it difficult, if not impossible, for those trained in Eurocentric, or Western educational programs to include anything more than empirical observations by Indigenous peoples into environmental decision-making.In the context of this course, intuition and animism are used as useful bridging concepts to enable a fuller understanding, and valuing, of multiple ways of coming to know.Based on in-person interviews and responses to a brief email questionnaire, six key themes emerged.These included concerns about the role of the course within the larger program; connection to students' personal research and professional practice; and the impacts of: the particular course instructor, guest speakers, assigned course readings, and the structure of the course and individual classes.
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 | 0.005 | 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 | 0.011 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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