A study on Neibourhood Houses in Canada Ⅰ―Focuses on the interchangeability of users and volunteers―
Bibliographic record
Abstract
This article aims to consider how happens the interchangeability of users and volunteers in the Neighbourhood House of Canada. Neighborhood House is originated of the settlement movement. They are a volunteerdriven, community-service agency, their mission is to make neighbourhood a better place to live, focuses on to enable people to enhance their lives and strengthen their community. There are 14 Neighborhood Houses in Vancouver（2015.7） and it is practiced for satisfying the community needs. A semi-structured interview was conducted and obtained data was analyzed by qualitative. As a result, a case of shifted from user to volunteer stuff is ① When they started Volunteer, they didn’t have a clear motive for volunteer, ② As a help of part of daily life, and a case of shifted from volunteer stuff to user is ① Satisfying self-needs, ② liberation from role.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".