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Record W2302247038 · doi:10.11575/prism/25162

Branch Road Nine

2014· dissertation· en· W2302247038 on OpenAlexfundaboutno aff
Cara Hedley

Bibliographic record

VenuePRISM (University of Calgary) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsTransport engineeringGeographyEngineering

Abstract

fetched live from OpenAlex

When the Ojibway band that owns Crow Island reclaims it from the cottagers who have been leasing it for decades, Mag returns to her family cabin to help her grandparents move off the island. Investigating a violent incident her late mother committed against an Ojibway woman, Mag develops a complicated friendship with the woman’s daughter, Eden, and attempts to untangle her inherited guilt and grief — and the mystery of Eden and her mother — through story. Limning the ethical borderlines of access to voice and story, Branch Road Nine explores the discourse of guilt, apology, and reconciliation on a narrative level, interrogating Mag’s personal desire for truth and redemption from both the violent history inherited from her mother and the history between her family and the Ojibway band whose land they leased. Branch Road Nine confronts the paradox of responsibility and guilt entangled in these issues, enacting a narrative response to the question of how non-First Nations writers can approach the topic of Canada’s colonial past and present: with an eye turned toward the perils of appropriation, yet proceeding with a belief in the absolute necessity to try to represent these issues in all of their complexity.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.570
Threshold uncertainty score0.614

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5700.170

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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
Published2014
Admission routes2
Has abstractyes

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