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Record W2292966433 · doi:10.14288/1.0108748

A bottled water free Special Olympics Canada 2014 Summer Games : developing sustainable tap water solutions : final report

2015· article· en· W2292966433 on OpenAlexaboutno aff
Judy Li-Hsin Chang, Yi-Jiun Tung, Dhavan Vora, Jessica Nan Zhao

Bibliographic record

VenuecIRcle (University of British Columbia) · 2015
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsBottled waterTap waterEnvironmental scienceBusinessEnvironmental engineering

Abstract

fetched live from OpenAlex

The University of British Columbia (UBC) will be hosting the Special Olympics Canada 2014 Summer Games from July 8-12th. This event will feature up to 2,000 athletes, coaches and officials from across Canada and will attract around 5,000 – 10,000 public spectators. Typically, bottled water is a common sight at sporting events despite its significant environmental footprint and unsubstantiated health benefits relative to tap water. Both the Games Organizing Committee and UBC, value sustainable water usage and waste management as a key sustainability goal; as a result, the 2014 Summer Games will strive to be a bottled water free event. The objective of this SEEDS project is to develop and evaluate alternatives to bottled water use by developing tap water distribution plans for each sporting venue. Each proposed solution was assessed based on social, economic, and environmental factors to determine the most sustainable and effective method of distributing tap water during the event. In addition, a nation-wide survey was conducted with athletes, coaches, Chefs and mission staff to identify potential social barriers to implementing our plan. Effective methods of promoting the event were also considered. If successful, our proposal can be used as a standard for future sporting events on campus and further UBC efforts in becoming a "zero waste" and “bottled water free” campus. The final evaluation of our proposed options found that no single water solution was best for every venue. For indoor venues, portable water containers seemed to be the best solution where the number of such containers will depend on the sporting event and venue. For outdoor venues there is a possibility of bringing third party organizers to supply portable water stations; however, some were financially unfeasible while others depend on availability. Each option's proposed plan for water distribution source was refined after our survey highlighted that the main concern of tap water was availability. Lastly, our survey showed that close to 98% of respondents believed in the Games Organizing Committee’s ability to provide quality tap water, where some of the respondents do not trust the quality of Vancouver’s drinking water. Thus, we do not foresee any major barriers to implement these plans since most participants are familiar with drinking tap water from previous games and practices.Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”

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)0.007
metaresearch head score (Gemma)0.004
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 score0.192
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0060.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.024
GPT teacher head0.197
Teacher spread0.173 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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