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Record W4388146882 · doi:10.1515/9781773851044

DR SAD

2020· book· en· W4388146882 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2020
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Stephen is middle-aged. He's gay. He's content, except when he isn't. Stephen is a teacher. He's a poet. He has a new teaching job in Kamloops, BC. Stephen has HIV. DR SAD is the story of one man's journey across Canada and through his diagnosis. It is the story of the distance between queer urban spaces and a small campus in a small city in small-town BC. It is the story of discovering the self within the world, and the world within the self, of discovering the difference between living a life and simply enduring one. This is a tragicomic cross-campus, cross-country romp that believes in the power of romance. Weaving together narratives of past and present, of Toronto's Gay Village and the streets of Kamloops, BC this lively and dynamic semi-autobiographical novel dives deeply into gender and queerness, class and privilege, and the realities of aging. It is a dynamic and engaging hybrid, stylistically daring while remaining intimate and human. Leaping through time and mixing the playfully serious with the seriously playful, DR SAD blends poetry with prose and finds the humour in despair in one complete, glittering tragedy of triumph

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.653
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.294
GPT teacher head0.331
Teacher spread0.037 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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