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Record W4404812031 · doi:10.15353/whr.v10.6151

Wallpaper to Die For

2024· article· en· W4404812031 on OpenAlexvenueno aff
Angelika Rohrbaher

Bibliographic record

VenueWaterloo Historical Review · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsWallpaperDie (integrated circuit)Computer scienceOperating system

Abstract

fetched live from OpenAlex

he Victorian home is often portrayed in literature and art as one of beauty, comfort, and warmth whether it be in the sumptuous mansions of the aristocrats, the less ostentatious homes of the middle class or the cozy cottage dwellings of the working class. These representations are a façade for behind the walls of many of these houses of the nineteenth century lurked a quiet and slowly poisoning agent that produced a sickening and often lethal environment. The culprit was arsenic and its use to provide the vibrant colours in wallpapers greatly sought by the consumers resulted in numerous illnesses and death. Little was done by Parliament curtailing the use of arsenic as economics and trade outweighed their concerns for the health of the nation. It was the consumers determination aided by the health and medical officials and the press that forced the manufacturers to cease production of wallpaper containing arsenic and thereby exercising a dynamic influence on consumerism in the late Victorian Era.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.293
Threshold uncertainty score0.981

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2930.174

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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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