The Indigenous Exchange Forum: transitions in mine closure
Bibliographic record
Abstract
“The Indigenous Exchange Forum: transitions in mine closure” was held on 2–3 November 2021 over Zoom, hosted by the Centre for Social Responsibility in Mining (CSRM) in the Sustainable Minerals Institute (SMI), at The University of Queensland. \nThe Forum aimed to affirm, connect, and elevate the voices of First Nations leaders and interested community members impacted by mining and mine closure. In doing so, we hoped to begin to build an international network across these Indigenous communities, to enable the sharing of experiences, struggles, and sentiments in relation to mine site transition and mine-related impacts on their lands. \nThe intent was to recognise each other’s unique cultural position and the impact of mining and mine closure through lessons learned: first with each other and then with industry. \nThe Forum had a strong foundation of reciprocity. The objective was: \n•To provide an independent and culturally safe space to facilitate the connectionbetween First Nations peoples, whose customary lands have been impacted bymining. \n•To position First Nations voices individually and collectively in a shared learningjourney full of experiences and lessons learned through online network exchange. \n•To facilitate knowledge exchange and elevate the connectivity between Canadian,Australian, and Aotearoa (New Zealand) First Nations regarding impacts, issues, andinnovative ideas and practices in response to mine site transitions and mine closure.
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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".