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Record W7134554096

Bigfoot Consulting

2008· report· en· W7134554096 on OpenAlexaboutno aff
Emma Amaya, Carlos Nicoás Arias, Emrah Tutumlu, Ricardo Arbulu, Darren Negraeff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2008
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Competitor analysisGreen buildingCompetition (biology)Green paperBuilding industry
DOInot available

Abstract

fetched live from OpenAlex

The B.C. Government and local governments have started different initiatives aimed to reduce the environmental impacts of buildings. Currently, the city of Vancouver is developing a green building strategy (GBS) that will be implemented in several phases and will pursue a mandatory regulated green building strategy for most new development in the city. Similarly, the B.C. Government is proposing a B.C. Green Building code for early 2008 which will address, among other things, new provisions of green building regulations. It is foreseeable that in the near future the government will require that all new building construction follow certain green building guidelines which will result in an increasing demand for green building services. This increased demand will generate an opportunity for companies that can offer expertise in this field, as this type of new construction will require additional capacities or expertise that medium and small developers do not possess at this point in time. Bigfoot Consulting will offer green consulting services to satisfy the underserved demand for green building expertise. Currently the competition is quite fragmented and recent entrants have not been able to meet current excess demand. Competitors offer either specialized niche consulting or a more comprehensive range of services, and range from well-established architectural firms to new ventures. Bigfoot will provide a comprehensive range of green consulting services targeted to individuals (B2C) and to development teams in the construction industry pursuing green building standards (B2B) in the GVRD. Bigfoot will differentiate itself from its competition by leveraging UBC’s 11 years of experience in green building and sustainable community planning, and will draw on the qualified personnel pool that the Sustainability Office currently possesses. Importantly, Bigfoot will offer UBC’s own green building standard, REAP, for the first time to the off-campus development market. Bigfoot will require a $50,000 budget from UBC in order to cover short-term costs and the addition of one salaried consultant to operate under this business plan. Based on the economic forecast and estimated market share, Bigfoot can expect to certify 18 projects to the REAP standard in the first year and generate net income before taxes of $122,025. This represents a profit margin of 40% in Bigfoot’s first year of operations. 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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.269
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.001
Scholarly communication0.0090.003
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.7310.441

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 head0.026
GPT teacher head0.211
Teacher spread0.185 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2008
Admission routes1
Has abstractyes

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