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Record W2946757723

Health & Safety Management in Tanneries & its Communication in the Leather Supply Chain

2018· article· en· W2946757723 on OpenAlexaff
Richard Hazenberg, Rachel Jane Garwood, Mark Richard Gummer, Toa Giroletti

Bibliographic record

VenueNECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton) · 2018
Typearticle
Languageen
FieldMaterials Science
TopicCollagen: Extraction and Characterization
Canadian institutionsImpact
Fundersnot available
KeywordsContext (archaeology)Supply chainBusinessPublic relationsValue (mathematics)Political scienceMarketingGeography
DOInot available

Abstract

fetched live from OpenAlex

This report represents the findings of the University of Northampton (UoN) in the context of research engaged in by The Confederation of National Associations of Tanners and Dressers of the European Community (COTANCE) and industriAll-Europe, carried out within the framework of an EU funded Social Dialogue project. The research seeks to explore the practices in reporting and communicating Health and Safety (H&S) risks along the leather value chain and how they are managed in tanneries. Although most responses originated in Europe, the research was also keen to acknowledge that leather is a ‘Global Value Chain’; the research therefore reflects practices that span beyond European borders and the implications from the findings and recommendations made have global resonance for the leather value chain.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.280
Teacher spread0.258 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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Same venueNECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton)Same topicCollagen: Extraction and CharacterizationFrench-language works237,207