Bibliographic record
Abstract
The objective of this thesis study is to develop a business plan to establish a social enterprise for a client organization, the Pacific Community Resources Society (PCRS). This local, non-profit organization provides community resources and job training programs for individuals who are often vulnerable or marginalized from communities in the Lower Mainland.\nThe City of Vancouver and PCRS are currently collaborating on a joint project to advance the local deconstruction and the reclaimed building material industries. The joint venture aims to fulfil a dual mission: a) to divert construction/demolition waste from landfills by promoting building material reuse and recycling, and b) to provide green job training and employment opportunities to youth with barriers to employment. The former mission directly addresses City of Vancouver’s key priorities of becoming the greenest city in the world by 2020 and fostering a green economy. The latter underscores PCRS’ core commitment to providing employment and life skill training for underemployed youth at the inner city.\nThe goal of this thesis study is to design a business plan to create a social enterprise that will fulfil the partnership’s dual mission. The needs of the client organization and their partners were assessed and a strategic analysis of the local deconstruction and used building material retail industries was conducted. After evaluating strategic options, this thesis study proposed to develop a business plan to establish a multi-centre retail operation named The ReBuild Hub. This operation will include: a) a retail centre to sell salvaged building material; b) a deconstruction centre to offer deconstruction services, and c) a training unit that will train “at risk” youth hand-on skills in the construction and trade industry using the 2 operation units as training sites. Collectively, these three units will be positioned to advance the mission of the partnership and to achieve a triple bottom line profit.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".