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Record W7134370172

Downtown Eastside Information Hub Survey

2015· report· en· W7134370172 on OpenAlexaboutno aff
Andreas Pilarinos

Bibliographic record

VenuecIRcle (University of British Columbia) · 2015
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipWork (physics)Government (linguistics)DowntownProcurementCommunity engagementCommunity organization
DOInot available

Abstract

fetched live from OpenAlex

Vancouver Urban Core Community Workers Association (Urban Core) initiated the DTES Information Hub Survey project in order to understand and map the income generation continuum and to inform future strategic planning and advocacy decisions. This research study was undertaken in partnership with the UBC Learning Exchange, and the Local Economic Development Lab (LEDlab), an initiative of Ecotrust Canada and RADIUS SFU. Twenty-seven DTES non-profit organizations and social enterprises were interviewed on their provision of income-generating opportunities. Results are categorized into the types of opportunities provided, recruitment and hiring practices, the benefits to DTES community members, challenges and barriers to income generation in the community, and local procurement practices. Based on these results, this research mapped an income-generation continuum that outlines the trajectory of community members from meeting basic needs to being engaged in the labour force. There are many successes in Vancouver’s DTES of positive community member labour force engagement through the provision of low-threshold income-generating opportunities. Low-threshold income-generating opportunities entail integrating flexibilities into the workplace that minimize the barriers to employment faced by DTES community members. Successful interventions include gradual entry into positions, on-job supports, flexible leave policies, and flexible work hours. Through the provision of low-threshold opportunities, participants reported instances of transition off income assistance and disability benefits, increased stability in housing and other aspects of life, and transition into high-threshold income generating opportunities. Barriers to engaging DTES community members in the labour force include: shortfalls in work readiness supports; government employment policies and funding requirements; lack of collaboration between community organizations, and government; and stigma. Smooth transition through the income-generation continuum requires the provision of holistic supports and services through government and organizational policy innovation to ensure that life necessities are met and that incentives for gradual labour force re-entry exist. As a neutral convener of community groups and organizations, Urban Core is in a position to facilitate dialogue and collective action for the improvement of access to income-generating opportunities and increased engagement in the labour force. Improvements to the well-being of community members and the local economy will only be achieved through community-centred policy innovation that invests in all aspects of the continuum. Through increased collaboration and the reduction of stigma, Urban Core and its community partners can contribute to the development of an inclusive local economy.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.392

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0240.004

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.

Opus teacher head0.032
GPT teacher head0.217
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; 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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