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Record W3213384992

A Creative Redesign of Daemonolgie

2021· article· en· W3213384992 on OpenAlexaff
J. HOLLAND ROSE

Bibliographic record

VenueStudent Research Proceedings · 2021
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsMacEwan University
Fundersnot available
KeywordsMindsetWifeHistoryLawSociologyPhilosophyEpistemologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This project was done under Professor Constanza Patcher and her Publication Design class over this past winter semester. It was a creative redesign for the old 500 year “Daemonologie” which was written by the King of Scotland at the time, James VI. The book is a detailed description of Witchcraft, and from a very legal and rational point of view from the Monarch himself; it is an attempt to rationalize how the practice works in the form of a dialogue between two characters, a Philomathes and an Epistemon, both characters meant to represent the rational and legal mindset that James wanted to approach finding and stopping Witches from. But there was another side to the book, one where James had written this book from his own paranoid experience with Witches. It started when it became known that several witches tried to kill him and his wife. And so, the book contains the very real danger that the witches possess according to James, in the form of vandalism that the witches have left behind. Department: Design Studies  Faculty Mentor: Constanza Pacher

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0060.007
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0200.004

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 head0.104
GPT teacher head0.390
Teacher spread0.286 · 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 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
Published2021
Admission routes1
Has abstractyes

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