Every requisite information : contextual provenance in the records of the Commissioner's Office of the Hudson's Bay Company, 1884-1910
Bibliographic record
Abstract
This thesis explores the societal, administrative and recordkeeping contexts which influenced the creation of the records of the Commissioner's Office of the Hudson's Bay Company 1884-1910. The primary archival methodology in this study relates to the exploration of a record's context of creation, an approach which seeks to determine all facets of the provenance of the record. Chapter one details the history of the principle of provenance and contextual theory in archival thought, tracing its formative origins in the nineteenth century down to the postmodern approaches of the 1990s. The chapter outlines the different aspects of contextual exploration, including societal, administrative, recordkeeping and custodial histories. Chapter two explores some aspects of the societal and administrative histories of the Commissioner's Office. The chapter sets the office within the context of Canadian business history of the late nineteenth century, as well as pointing to the HBC's roots in British colonialism. Chapter three looks at another aspect of contextual analysis, recordkeeping practices within the Commissioner's Office. Through the examination of various Commissioner's Office records, the study attempts to show how the societal and administrative contextualities have influenced the creation of the office's records. Finally, the conclusion demonstrates how contextual analysis can be applied to archival practice, in particular through the Archives of Manitoba redescription project (known as Keystone) for the holdings of the Hudson's Bay Company Archives. Contextual analysis of records has proven to be a crucial tool in this project. Thus, archival theory asserts its practical place in the archives.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| 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".