Environmental Change and Terrestrial Resource Use by the<scp>T</scp>hule and<scp>I</scp>nuit of<scp>L</scp>abrador,<scp>C</scp>anada
Bibliographic record
Abstract
The object of this study is to document how theInuit on the northern coast ofLabrador,Canada used terrestrial resources such as peat and wood during theLittleIceAge (LIA;A.D.1500–1870). Paleoecological investigations consisting of pollen and macrofossil analyses were undertaken in conjunction with archaeological excavations at theInuit winter settlement sites ofOakesBay 1, located in theNain region of north‐centralLabrador. Our data indicate that the major changes in terrestrial ecosystems of this coastal region were triggered by climate change. From ca. 5700 to 3000 cal. yrB.P., climatic conditions were relatively warm and moist. At ca. 3000 cal. yrB.P.conditions became significantly drier and colder, which corresponds to broader climatic trends during theNeoglacial period. At ca. 1000 cal. yrB.P., the reappearance of hygrophilic species and the establishment ofLarix laricinaprovide evidence of a return to more humid conditions that in turn triggered the onset of the paludification of sandy terraces in theDogIsland region. Peat accumulation persisted after ca. 580 cal. yrB.P.likely due to the elevation of the frost table during theLIA. Elevated frost tables contributed to water saturation of the surface during the spring, creating conditions that were conducive to the preservation of organic material. Natural resources such as trees and peat were therefore readily available and more abundant during theLIAand extensively used by theInuit for house construction and heating in theDogIsland region.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".