The palaeoethnobotany of 16th-century Ferryland (CgAf-02): an entanglement of Beothuk and European migratory fishers
Bibliographic record
Abstract
Ferryland (CgAf-02) is regarded as an opportune site for investigating the nature of interactions between the Beothuk and European migratory fishers in Newfoundland during the 16th century due to the identification of both Beothuk and European migratory fisher material culture within the same contexts. Investigation of the palaeoethnobotanical record has been proposed as the most likely means to this end because non-native grape seeds were recovered in association with hearths consistent with Beothuk construction. While several sediment samples excavated from these contexts underwent preliminary macrobotanical analyses over the course of almost three decades, the question of Beothuk-European interactions at Ferryland remains unanswered. This thesis re- evaluates the suitability of the sediment samples and their macrobotanical contents for informing on this question by revisiting previous analyses, conducting new macrobotanical analyses, amalgamating and standardizing data produced during previous and new analyses, and representing that data spatially. The data is situated within a critical and theoretical discussion of archaeologies of identity and site and feature formation processes to demonstrate that rather than seeing 16th- century Ferryland as representative of interactions between two parties, it can be more productively understood as a shared and entangled colonial space.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".