MétaCan
Menu
Back to cohort
Record W4404733121 · doi:10.1016/j.jobab.2024.11.002

Disassembly, refinement, and reassembly: From ancient papermaking to modern materials processing

2024· article· en· W4404733121 on OpenAlexvenueno aff
Jing Shen, Meiyun Zhang

Bibliographic record

VenueJournal of Bioresources and Bioproducts · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPapermakingComputer scienceConstruction engineeringEngineeringPulp and paper industry

Abstract

fetched live from OpenAlex

Papermaking, a cornerstone of human civilization and one of China's Four Great Inventions, exemplifies the enduring legacy of ancient ingenuity in shaping modern materials science. Originating from the groundbreaking work of Lun Cai and his team, the papermaking process involves the meticulous disassembly, refinement, and reassembly of natural fibers into cohesive sheets: a process that, while refined, has remained fundamentally unchanged for nearly 2 000 years. This work explores the pivotal role of papermaking in contemporary society within the broader context of materials science, highlighting its fundamental principles and the remarkable versatility of its scalable process. Papermaking, once central to the dissemination of knowledge worldwide, has now evolved into a key player in the sustainable production of environmentally friendly products, touching every aspect of modern life. The principles underlying papermaking have inspired the development of novel materials, with techniques such as vacuum filtration paving the way for innovations like nanopapers based on a diverse group of building blcoks. Looking ahead, the field presents significant opportunities in sustainable sourcing, the creation of eco-friendly packaging, and the development of advanced materials with applications in healthcare and beyond. The enduring relevance of papermaking lies in its adaptability, versatility, and boundless potential for future innovation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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 designBench or experimental
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

Citations18
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Bioresources and BioproductsSame topicRecycling and Waste Management TechniquesFrench-language works237,207