MétaCan
Menu
Back to cohort
Record W4380680194 · doi:10.32920/23503821

Sustainable Jewellery Practice: A Creative Approach To Communicate Sustainability

2023· preprint· en· W4380680194 on OpenAlexaff
Zoe Zi Yi Yin

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicErgonomics and Human Factors
Canadian institutionsOntario College of Art and DesignToronto Metropolitan University
Fundersnot available
KeywordsCraftContext (archaeology)CLARITYSustainabilityStudioArticulation (sociology)SociologyEngineering ethicsEngineeringVisual artsKnowledge managementComputer scienceArtPolitical scienceHistoryChemistry

Abstract

fetched live from OpenAlex

<p> This creative research is based on an extensive review of literature that explores both environmental and social concerns in the jewellery industry, relating to the metal mining sector. Issues addressed include the processes and methods of the extraction of metals through mining, to the metal finishing of jewellery manufacturing. Existing studies have revealed that there is a lack of clarity in defining sustainability in the context of a studio practice for Independent Jewellery Designers (Ceschin, and Gaziulusoy, 2016; Fettolini, 2018). This study will be presented through a review of literature that was integrated into a conceptual framework, followed by practice-based activities. </p> <p>I used my own craft education and experience as an example in this practice-based research. Positioning craft practice in a research context can facilitate the reflection and articulation of knowledge generated from within the research-practitioner’s artistic experience. Conducting primary research through making, enables knowledge to become explicit as a means of visual evidence to support the written text. </p> <p>In addition to the paper, a collection of brooches have been produced and will be exhibited as the creative component of this project. </p>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.282
Teacher spread0.248 · 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 designSimulation or modeling
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicErgonomics and Human FactorsFrench-language works237,207