The Great Divide: Citizen Science in the Anthropocene at the Columbia Icefield
Bibliographic record
Abstract
At the dawn of the Anthropocene humankind’s ability to influence its geophysical surroundings through processes – often times technological and industrial – has brought to the forefront the inextricably intertwined character of the natural environment and human culture. At the heart of this often reckless relationship stands Alberta, Canada. Located in Jasper and Banff National Park at hydrographic apex of the Rocky Mountains, the Columbia Icefield, an icon of historic “pristine” Canadian wilderness, is now undergoing immense change. The Icefield’s shifting environmental systems have generated new spatial and temporal relationships between humanity and nature. As a result, a new protagonist has gained prominence: the citizen scientist. This thesis seeks to open discussions on historical and future time, and our engagement with the earth through the speculative rediscovery of the Columbia Icefield by means of citizen science.
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.035 | 0.024 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".