INVISIBLE RESIDENTS: ARCHAEOLOGICAL EVIDENCE AND THE QUESTION OF INDIGENOUS PRESENCE AT HOUSE C OF BRITISH FORT MICHILIMACKINAC, 1765-1781
Bibliographic record
Abstract
Michel-Rolph Trouillot’s theory of “silences” states that much of the knowable past is ignored or discarded in order to create a coherent narrative, which we call “history”. Over the past 60 years, Colonial Michilimackinac has largely constructed a narrative that centers on white male traders and soldiers while silencing the presence of Indigenous peoples. Steps towards a more nuanced narrative have been made in recent years, but there is much that can still be done. This thesis attempts to evaluate evidence of Indigenous presence at House C of Fort Michilimackinac. Using personal use or adornment artifacts, ceramics, and faunal and floral remains from House C and comparative sites, I will explore the possibility that Indigenous or Métis women lived and worked at House C, despite their absence in the documentary record. My hope is that this thesis will prompt other archaeologists and academics to reconsider who or what has been silenced in the standard narrative of the fur trade. Reevaluation of the archaeological narrative could lead to more holistic interpretation at Michilimackinac, reshaping visitor experiences and how we - as scholars - create history.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".