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Record W7061383593

Quantifying and managing Scope 3 (Travel) carbon emissions in a UK university

2016· dissertation· en· W7061383593 on OpenAlexfundno aff

Bibliographic record

VenueNottingham Trent University's Institutional Repository (Nottingham Trent Repository) · 2016
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersDepartment for Environment, Food and Rural Affairs, UK GovernmentTrent UniversityNottingham Trent University
KeywordsScope (computer science)Greenhouse gasBenchmarkingSWOT analysisSustainabilityAgency (philosophy)Index (typography)Scale (ratio)
DOInot available

Abstract

fetched live from OpenAlex

Purpose: \nThe Higher Education Statistics Agency requires Higher Education Institutes to reporting their Scope 3 (Travel) carbon emissions effective from January 2015 to show leadership in carbon reporting perspectives. This research contribution is to new knowledge and management processes involves the designing and implementing a hybrid environmental management system(EMS) for Scope 3 (Travel) carbon emissions accountability, developing new quantification tools and reporting by adopting Global Reporting Initiative G4, using Nottingham Trent University (NTU) as a collaborative case study. \n \nResearch Design and Methodology: \nThe research design methodology evaluates NTU’s EMS using qualitative to quantitative semi structured SWOT and mRating evaluation questionnaires. Developing a Scope 3 (Travel) carbon quantification tool using data derived from a travel survey of NTU’s staff and students and travel data of overseas students and business travel. Determining a UniCarbon travel sustainability index as a key performance indicator for reporting purposes. \n \nFindings: \nSWOT and mRating empirical values computations provided the basis for the development and implementation of a new hybrid EMS particular to NTU. The total amount of Scope 3 (Travel) carbon emissions were: staff and student commute (6,656MtCO2e), business travel (2,674MtCO2e) and overseas students (42,312MtCO2e). NTU’s Scope 3 (Travel) carbon emissions performance index is 0.49, indicating partial emissions sustainability. \n \nContribution to new management practices and new knowledge: \nThis research contribution to new management processes providing frameworks for an efficient adoption of EMS practices for Scope 3 (Travel) carbon emissions accountability. The development of quantification tools, enables benchmarking and implementing emissions abatement policies to meeting the HE Sector’s 2020 emissions targets of 43% of the base year 2005. The UniCarbon index offers a summative reporting empirical measurement of travel sustainability reporting, enabling comparisons for use within the HE Sector that also could be replicated to other industry sectors.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.239
Teacher spread0.226 · 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 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
Published2016
Admission routes1
Has abstractyes

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