Potential Environmental Effects of Expanding Lake Jökulsárlón in Response to Melting of Breiðamerkurjökull, Iceland
Bibliographic record
Abstract
Glacial retreat has been well documented in several studies on the Vatnajökull ice cap. Breiðamerkurjökull, an outlet glacier from Vatnajökull, has been actively retreating since the end of the Little Ice Age in the mid-nineteenth century. There is a strong correlation between the increasing rate of glacial melt resulting from rising global temperatures and the expansion of proglacial lakes. Jökulsárlón, a proglacial lake associated with Breiðamerkurjökull, has grown significantly, from 14.6 km2 to 25.4 km2, between 1999 and 2014, as illustrated in a series of Landsat 7 ETM+ and Landsat 8 images. Climate models predict that global temperatures will continue rising, which will impact the rate of glacial melt and subsequent expansion of proglacial lakes. These trends, as seen around the Breiðamerkurjökull-Jökulsárlón area, may result in serious environmental complications for the Icelandic population in the future. For that reason, it is important to monitor this phenomenon and take precautions where necessary. Jökulsárlón will also serve as a modern analogue for future studies on understanding the relationship between outlet glaciers and proglacial lakes' responses to climatic change.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".