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Paperless Campus: The Real Contribution towards a Sustainable Low Carbon Society

2015· dataset· en· W2199380479 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFigshare · 2015
Typedataset
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsDeforestation (computer science)Consumption (sociology)Production (economics)BusinessAgricultural economicsForestryEnvironmental scienceNatural resource economicsGeographyEnvironmental protectionEngineeringEconomicsComputer science

Abstract

fetched live from OpenAlex

Massive global deforestation is not only caused by deforestation of tropical forests in developing countries, but also deforestation of natural forests in developed countries. Pulp and paper industry is one of the main players of deforestation. Globally, paper consumption increases by 3% per year. Currently, global paper consumption is around 350 million tons. The paper industry itself consumes 35% of all trees to produce paper. We have to cut one tree to produce 16.7 reams of paper (equal to 8,333.3 sheets). Annually, more than 900 million trees are cut for paper industries in the world. On average, individual consumption of paper is currently around 4,873.1 sheets per year, per student (or equal to 0.6 trees per year, per student). The papermaking process simultaneously contributes significantly to the pollution of water and air. Paper production factories emit 6.5 pounds of CO2 per ream of paper production or around 80 million tons of CO2 per year. In Canada and the USA, the pulp and paper industry is the third largest industrial polluter releasing over 100 million kgs of toxic waste every year. This study carried out students interviews (n=118) followed by a structured questionnaire in the Graduate School for International Development and Cooperation (IDEC), Hiroshima University, Japan to generate empirically supported assessment and explore the factors of the educational institutions that are responsible for creates forest degradation and deforestation. To fulfill the research objectives, this study used the Probit model and cost-benefit analysis (CBA). This study identified more paper consumption creates hindrance for establishing a sustainable low carbon society. Provision of behavioral change of stakeholders, government intervention, financial and technical assistance from development partners and electronic gadget manufacturers, and sometimes social corporate responsibility (CSR) can promote a paperless campus and ensure a sustainable low carbon society. The findings of this paper provide a robust basis for policy makers, researchers, and stakeholders for further research and development of specific policies and plan in this field to lessen the forest degradation and deforestation and establish a paperless campus.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.199
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2080.009

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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