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Record W2131609517 · doi:10.1177/1357034x13499381

Making Sense of Domestic Warmth

2013· article· en· W2131609517 on OpenAlexaffabout
Phillip Vannini, Jonathan Taggart

Bibliographic record

VenueBody & Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsRenewable energyEthnographyOrder (exchange)Architectural engineeringEnergy (signal processing)Process (computing)SociologyAffect (linguistics)AestheticsEnvironmental ethicsPsychologyBusinessEngineeringComputer scienceCommunicationArtAnthropology

Abstract

fetched live from OpenAlex

Drawing from ethnographic research conducted in Alberta, as well as across multiple sites in Canada, this article describes and discusses the practices and experiences of heating off the grid with renewable resources (i.e. passive solar and wood). Heating with renewable resources is herein examined in order to apprehend the cultural significance of dynamics of corporeal involvement in the process of creating indoor warmth. A distinction between energy for which corporeal involvement is relatively high (hot energy) and relatively low (cool energy) is then made. Off-grid indoor warmth is therefore understood as a hot energy requiring intense involvement. The authors argue that thermoception is a type of affect with catalytic properties.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.020
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.356
Teacher spread0.320 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations48
Published2013
Admission routes2
Has abstractyes

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