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Record W7067848852

The Myth of the Homesteader: Challenging Saskatchewan Settler Narratives, 1880-1910

2022· dissertation· en· W7067848852 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyHEROIndigenousNarrativeWhite (mutation)Oppression
DOInot available

Abstract

fetched live from OpenAlex

At the beginning of Saskatchewan’s homesteading period, from 1880 to 1910, the Homesteading Hero Myth – a narrative that celebrates the courageous white farmer who entered an unknown landscape and faced numerous hardships, only to succeed in breaking the land and creating home – took shape. The Homesteading Hero Myth presents agricultural development of Saskatchewan land as an epic quest and casts settlers as the winsome protagonists who prevail despite the challenges they face. This same Myth downplays or ignores the roles of Indigenous peoples who are represented neither as main nor as supporting characters: when they are given a role to play at all, it is minor, on the sidelines, typecast, or silent. Yet, despite the Homesteading Hero Myth relying on the idea of the Canadian prairies being an “open” landscape ripe for the settlers’ taking, the settlers who came did not actually see the land as empty. Settlers recognized evidence that Indigenous peoples had recently occupied the territory they now claimed, and in many cases recognized Indigenous peoples as neighbours. Settler family narratives about the homesteading period provide an alternate account in which incoming settlers recognized and understood that they were arriving on Indigenous lands. Ultimately, this thesis argues that homesteader hero narratives need to be “unsettled” and reframed into the uncomfortable reality that they are really stories about imperial dispossession, suppression, and oppression of Indigenous peoples.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.161
Teacher spread0.156 · 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 teacher head, 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
Published2022
Admission routes1
Has abstractyes

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