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Record W7013069434

The Rangeroads

2016· dissertation· en· W7013069434 on OpenAlexaffabout

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2016
Typedissertation
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNucleofectionGestational periodTSG101DysgeusiaLiquationDiafiltrationEmperipolesisTriacetinDurvalumab
DOInot available

Abstract

fetched live from OpenAlex

The Rangeroads is a graphic novel employing regionalism and Gothic elements to investigate how individual identities and landscape engage with the cultural-colonial and industrialenvironmental history of the Peace Region.The narrative follows Cai Monkman, a Cree-Mtis teenager who becomes lost in the network of rangeroads surrounding the rural Albertan town of Beaverlodge.The roads morph into a place both familiar and strange as Cai travels, encountering spirits, albino moose, and haunted pioneer shacks.At the same time, two lab assistants from the Beaverlodge Research Station investigate the sudden levitations of barley crops and a prophetic voice that phases in and out on a Grande Cache Radio station.The phenomena encountered by Cai and the researchers emanates from the rangeroads realm: a place-doppelgnger of the Peace Region where history manifests in the form of supernatural beings and occurrences.The Rangeroads is a Gothic portrait of place, zooming in on an obscure corner of Western Canada and the individuals who live there.Using tools of Gothic literature and a visual narrative, my thesis excavates the histories and current realities of a mostly-unknown regional community to offer a complex, metaphysical exploration of its identity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.277
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0000.002
Open science0.0030.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.189
Teacher spread0.183 · 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
Published2016
Admission routes2
Has abstractyes

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