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Record W50300700

Research Project: Creating the visual book through the integration of the divergent technologies of photogravure and digital processes

2008· article· en· W50300700 on OpenAlexaboutno aff
Marlene MacCallum, David Morrish, Pierre Leblanc

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionMandateProcess (computing)PrintmakingSociologyLibrary scienceVisual artsComputer sciencePolitical scienceArtPainting
DOInot available

Abstract

fetched live from OpenAlex

The objective of this project is to investigate the creation of book works using an integrated approach to the technologies of printmaking, photography and digital imaging. This project has been awarded a three-year grant from the Social Science and Humanities Research Council of Canada and in line with the Council’s mandate has four main components: research, creation, training and dissemination. The broad challenge of incorporating technologies will be focused by a specific research into the process of colour separation photogravures. This image-making medium will then be applied to the creation of book works and sequential imagery. Students and research assistants will receive training by working alongside the team throughout the entire project. In the aim of disseminating information, links will be established through the creation of international working groups. Knowledge will be shared during workshops, through publication of written material on the web and book arts newsletters and e-journals. The development of critical theoretical perspectives will evolve into articles appropriate for contemporary journals. Exhibitions and participation at conferences will also be key means of dissemination. Two questions motivated this project. What is the impact of the integration of digital and analogue technologies on image making and the creation of book works? How does media-related decision making influence outcome? This research functions as the catalyst for three artist/researchers to combine expertise while creating individual work and engaging in critical dialogue. The team consists of three members, Marlene MacCallum as principal applicant and David Morrish and Pierre LeBlanc as co-applicants. Marlene MacCallum has expertise in the areas printmaking, photogravure and book arts with strong skills in the area of photography. David Morrish has expertise in the areas of photography and photogravure with strong skills in the areas of digital imaging and book arts. Pierre LeBlanc has expertise in the areas of digital imaging, photography and printmaking with strong skills in the area of critical theory. The proposed research presents an opportunity to create work that is experimental in nature and encourages evolution for each artist as well as the members of the working group. Book works provide the ideal non-media specific context for integration with cross and inter-disciplinary potential. The proposal would hopefully be a catalyst within the Canadian cultural and educational arenas to further the creation, education, and dissemination of the book arts. This project is motivated by a desire to challenge and expand on our use of both traditional and contemporary reproducible technologies. The use of various media to create work has a direct bearing on both the artist and the resulting product. Through a thoughtful analysis of the decision making process at all stages of production it will be possible to propose cultural theory that will explore the work of art from inception to reception and examine how media-related decision

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)0.008
metaresearch head score (Gemma)0.009
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: Other
Teacher disagreement score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.010
Scholarly communication0.0110.010
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.097
GPT teacher head0.288
Teacher spread0.191 · 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
Published2008
Admission routes1
Has abstractyes

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