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
The research project I took part in was Dr. Elizabeth Steyn’s UNEP project. This project is focused on responsible and sustainable mining, terms which are not easily defined. To briefly explain, mining itself cannot be sustainable because the resources involved are not renewable. To mine sustainably we need to invest back into the communities impacted by mines, providing skills and knowledge that can be utilized even after mines close. The industry is responsible if the environment and all stakeholders are considered. My role in this project was to look at ways in which Indigenous communities in Canada are impacted by mining projects. I provided insight to the effects mining has on Indigenous communities so that Dr. Steyn and her team can apply this information to their work on the UNEP project.\nIn addition to this my research output consisted of a beading project inspired by my research work and the origins of Ode'imin, known as the Strawberry teaching. The particular teaching I referenced comes from elder Lilian Pitwanakwat of Curve Lake First Nation. The heart berry helps us understand the connection between the mind, body, spirit, and emotions. We need our heart to guide us in order to maintain personal balance. The heart berry also reminds us of reconciliation and teaches us how to maintain heartfelt relationships in our families and communities. I was able to use this teaching to reflect and understand my thoughts and emotions towards the dark side of mining, but also recognize the parts that are positive.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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