Comparing fill and floor: <scp>A</scp> taphonomic framework for understanding depositional histories in a semi‐subterranean house in north‐west Alaska
Bibliographic record
Abstract
Abstract Collapsed semi‐subterranean dwelling features are often excellent sources for well‐preserved faunal, artefactual, and architectural material in the Arctic. However, collapsed structures may be reused after house abandonment as storage areas, hunting blinds, refuse areas, or other resource facilities. Despite their reuse and possibly different occupation period, artefacts and faunal material from the fill are often employed, uncritically, to interpret the original house occupation. Within a Thule Inuit house depression, I employ an analytical framework as a heuristic device to compare the social nature of the various faunal deposits and the processes that affected them. Analyses show that the taphonomic processes alter the fill more extensively and intensively than the underlying floor. The floor shows little post‐depositional disturbance and is evidence for a cold‐season occupation. By contrast, the fill is a palimpsest of multiple occupations, some possibly related to the house occupation. Archaeologists need to differentiate fill from floor contexts when talking about the original occupation because the taphonomy of the two contexts indicate each is a distinct set of assemblages with differing operative processes.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| 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".