What Could the ‘Sea Ice Machine’ do to its People? On Lateglacial Doggerland, Marine Foraging, and the Colonisation of Scandinavian Seascapes
Bibliographic record
Abstract
‘Climate’ is rarely experienced directly – contrary to day-to-day ‘weather’ and ‘seasons’ that manifest in landscapes (‘weather-worlds’). This paper elaborates the role of sea ice and sea ice hunting outside the lateglacial Doggerland beaches. The winter–spring sea ice was a seasonal extension of the continental plains, and a potential meeting ground for the human hunters of the plains and the mammals of the sea. Here, the hunters could observe and experience that seals were easy prey and that seals were similar to the familiar terrestrial megafauna; providing meat and blood, bone, skin, bladders and sinews, and ample supplies of fat (blubber) that also could heat dwellings. Seals on the ice could be hunted with similar methods and equipment as terrestrial animals – without the need of boats and the risks of cold, open sea. The Doggerland sea ice was a meeting ground of land and sea that could have been imperative in the development of marine foraging and the subsequent colonisation of Scandinavian seascapes. Levy Bryant’s ‘Machine Oriented Ontology’ may be instrumental to envision the sea ice and its potential for the lateglacial hunters in Northwest Europe.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".