Bibliographic record
Abstract
If one thing is beyond discussion in June of 2020, it is that we are living in unique times, even if pandemics are far from unique in longer Human history.A short article in this issue on the topical concept of the Anthropocene closes with a quote that (in part) reads that "....some humility is in order about our, thus far, infinitesimal part in the history of the planet".Our high-technology society has certainly received a stark reminder of the power of the natural world, as it struggles to prevail over one of the most primitive of life forms.Few previous analyses of the pandemic threat that I have read fully captured the economic impacts and ethical dilemmas that confront us in this time of Covid.Many in the Canadian Geoscience Community suffered these impacts and some are now directly touched by illness or bereavement.On behalf of those involved in Geoscience Canada, I extend sympathies and condolences, and the hope that the time of Covid will be brief.The American Geological Institute (AGI) recently initiated a study on the impacts of Covid-19 on the Geosciences and invited contributions from member organizations (see www.americangeosciences.org/workforce/covid19).No great insight is needed to see how the prohibition of large gatherings and the need for physical distancing could have far-reaching implications for many of the things that we typically do.We will need to think about how to conduct important field work, especially in remote and isolated areas, how to mount our vital professional conferences, and how to educate the next generation of Geoscientists.We should expect that the global pandemic will wreak changes to many other things that we have not yet considered.AGI's initiative is a good step, and one that will hopefully provide some direction and context as we move into next year.There are of course much wider questions to consider, such as whether this global crisis might force society to better confront the threat of climate change or even to rethink the relationship between the Human and Natural worlds.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.020 | 0.014 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".