MétaCan
Menu
Back to cohort
Record W4253420560 · doi:10.24908/iqurcp.7983

The Tea Room: Challenges and Rewards of Developing a Sustainable Business Model

2017· article· en· W4253420560 on OpenAlexvenueno aff
Michele Romanow, Josh Workman, Faye Pang, Alan Fidler, Ashley Widdes

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategies and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsSustainable businessBusinessBusiness planPresentation (obstetrics)Business modelPlan (archaeology)Key (lock)Sustainable developmentMarketingSustainabilityProcess managementGeographyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The Tea Room is a unique environmental initiative striving to be North America's first zero consumer coffee shop. This student­run café embodies the values of environmental change, and education through a sustainable business model. The long­term goal of the Tea Room is to operate as an environmentally and fiscally sustainable business. In its first four months of operation the Tea Room has learned an enormous amount about the sacrifices and balances required to operate a sustainable business, the response of customers, and implementing environmental initiatives. The presentation will cover the motivation and philosophy behind the project, our environmental plan and key initiatives, and our challenges and successes.

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)0.019
metaresearch head score (Gemma)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.017
Scholarly communication0.0270.022
Open science0.0020.015
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0120.003

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 head0.167
GPT teacher head0.354
Teacher spread0.187 · 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
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicBusiness Strategies and InnovationFrench-language works237,207