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Record W2726436905 · doi:10.1215/00141801-3870636

Constructing a Sacred Chronology: How the Nova Scotian Institute of Science Made the Mi’kmaq a People without Prehistory

2017· article· en· W2726436905 on OpenAlexaboutno aff
Michelle A. Lelièvre

Bibliographic record

VenueEthnohistory · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaChronologyHistoryNova (rocket)PrehistoryCuriosityAnthropologyArchaeologySociologyHumanitiesArtPsychologyEngineering

Abstract

fetched live from OpenAlex

Abstract In the latter half of the nineteenth century, the Mi’kmaq were the focus of two moments in the development of the public sphere in the British settler colony of Nova Scotia. One moment saw concern for the Mi’kmaq’s welfare increase and the focus of that concern become fixed on “civilizing” through assimilation. Another was a growing scientific curiosity expressed through the founding of intellectual organizations such the Nova Scotian Institute of Science, and often at odds with prevailing religious beliefs, which adhered to the “sacred chronology” of the Bible. These moments converged in the addresses on cultural history made by members of the Nova Scotian Institute of Science between 1864 and 1912. The interpretations offered by the institute’s members demonstrate an increasing separation of the contemporary Mi’kmaq from the precontact past of the province, thus constructing a chronology that—if not biblically sacred—was sacrosanct to the narrative of progress that underlay the settler project in Nova Scotia.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.017
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.290
Teacher spread0.253 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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