MétaCan
Menu
Back to cohort
Record W4386865103 · doi:10.31031/tteft.2023.09.000706

Mohair Fiber: Sustainability Starts at the Farm-Know your Fashion; Know Where it Comes from

2023· article· en· W4386865103 on OpenAlexaffabout
Bellemare Jocelyn

Bibliographic record

VenueTrends in Textile Engineering & Fashion Technology · 2023
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSustainabilityTextileAnalyticsManagementBusinessMarketingEngineeringGeographyEconomicsComputer scienceArchaeologyData science

Abstract

fetched live from OpenAlex

Sustainability considerations are paramount throughout the entire spectrum of the fashion supply chain.However, there's an apparent research gap concerning the preliminary stages that come before fiber collection.This paper delves deep into the repercussions of choices made at the farm level on the sustainability of mohair fiber production.A detailed study following the journey of a mohair producer highlights the significant impact of decisions made at the foundational level.This research emphasizes the importance of conscious animal husbandry and environmental awareness in the days leading up to shearing.Detailed interviews with involved parties at the farm shed light on the hurdles and advantages accompanying each step of the process.Our analysis presents hands-on recommendations from the viewpoint of a farmer, corroborated with findings from previous research.The judicious selection of angora goats, considering their genetic traits from both male and female perspectives, validates earlier genetic studies.Providing the goats with ample space for grazing and augmenting their diet with fields sown with indigenous flora promotes a holistic diet rich in organic protein.This mode of nutrition proves pivotal in the conversion of sustenance to fiber, manifesting a strong link between adequate feeding and superior fiber quality.Moreover, embracing holistic pest control mechanisms effectively keeps parasitic infestations at bay, and the strategic positioning of guard dogs not only shields the flock from potential threats but also significantly diminishes stress levels among the animals, mirroring the principles of the Predator Friendly movement.The necessity for transparency in the fashion discipline is also discussed, emphasizing the worth of cultivating personal affiliations with suppliers.Such alliances nurture trust and legitimacy, while also curbing the carbon footprint by supporting local communities.By mapping out the multifaceted steps in the sustainable process from pasture to wardrobe, this manuscript underscores the role of mohair as a legitimate and worthy fiber.This research brings to the forefront the choices made at the farm that promote sustainability in the fashion supply chain, with special emphasis on mohair fiber.Our results provide nuances and actionable tips for agrarians, supporting prior research and paving the way for a fashion industry that's both sustainable and transparent.

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)0.002
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.069
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0690.018

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 head0.017
GPT teacher head0.282
Teacher spread0.265 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueTrends in Textile Engineering & Fashion TechnologySame topicTextile materials and evaluationsFrench-language works237,207