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Record W2908426746

More or Less Human: Colonialism, Common Law, and the Social Construction of Humanity on Vancouver Island, 1849-1864

2018· article· en· W2908426746 on OpenAlexaboutno aff
Laura Spitz

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousDehumanizationPersonhoodHumanityColonialismScholarshipPolitical scienceSubject (documents)SociologyLawEnvironmental ethicsHuman rights
DOInot available

Abstract

fetched live from OpenAlex

This Article contributes to contemporary debates about juridical personhood by providing an historical account of early contests over who counted as a legal subject in the colony of Vancouver Island. These early contests were critical to the production of racial categories and racial knowledge that remain relevant today, especially for Indigenous people. Using both primary and secondary sources, the Article engages legal, historical, and Indigenous legal studies scholarship to make several points. First, the construction of early liberal legal categories — Indian, corporation, alien and citizen, for example — was accomplished, in part, through practices of humanization and dehumanization. Second, then-governor of the colony, James Douglas, both exemplified and shaped early iterations of these practices. These practices make clear that, unlike colonial administrators who followed, Douglas viewed Indigenous people as human legal subjects. But while Douglas is sometimes valorized for having recognized Aboriginal title in unceded land and acknowledged the capacity of Indigenous people to enter contracts, the underlying assumption that Indigenous people were in fact human, or at least potentially human, does not reveal a robust and nuanced view of humanity, nor was it especially progressive except in contrast to the even more discriminatory views of others. Finally and most importantly, Douglas’s views would not have resonated with Coast Salish understandings of what it meant to be human. This Article concludes by suggesting some implications of this disconnect for both ongoing struggles and the project of reconciliation in Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.976
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0240.020
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.013
GPT teacher head0.278
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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