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Record W2336459677 · doi:10.14288/1.0091469

Conceptualising social capital : case studies of social capital inputs into housing

2009· article· en· W2336459677 on OpenAlexaboutno aff
Helen G. Chan

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsnot available
Fundersnot available
KeywordsSocial capitalBusinessSocial mobilityCapital (architecture)EconomicsLabour economicsSociologyGeographySocial science

Abstract

fetched live from OpenAlex

Social capital refers to material and symbolic resources that are accessed through social relationships and used for purposive actions. Conceptualising social capital as having four archetypal forms provides planners with an analytic and heuristic tool for considering the different resources that community and government actors bring to various projects and social endeavours. These forms of social capital are called bonding social capital (based on intra-community relationships), bridging social capital (based on extra-community relationships), institutional social capital (based on relationships established by the formal and informal institutions of society) and synergistic social capital (based on relationships between state and civil society actors). This quadripartite model of social capital was found to be useful in analysing the different socially embedded resources which were applied to housing initiatives for two distinct communities of people in Vancouver, British Columbia, Canada. One case looked at a seniors care home established for elderly Chinese people by a community-based organisation (CBO) known as the United Chinese Community Enrichment Services Society (S.U.C.C.E.S.S.). The second case examined community housing for adults with developmental disabilities that was supported directly by family members and a CBO called Mainstream Association for Proactive Community Living (MAPCL) and indirectly by an informal group known as the Parents Support Group for Families of Mentally Handicapped Adults. In both cases, the housing initiative relied on resources that were accessed through the intra-community ties of people united by a common ethnicity or interest in supporting adults with developmental disabilities. Necessary inputs for developing and sustaining the housing initiatives were also found in extra-community ties with the wider community and internationally-based professional associations; relationships with government actors at the municipal, provincial and federal levels; and predictable societal relationships established by legislation and norms of behaviour. A four-part model of social capital additionally serves as a planning tool to identify a broader range of resources and possibilities for policy intervention and to remind planners they work with multiple publics, must adopt a critical approach to community involvement and coproduction and should encourage governments to be active in shaping the institutional environment and engaging with individuals and community groups.

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)0.009
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0160.018
Scholarly communication0.0060.010
Open science0.0030.013
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.021
GPT teacher head0.254
Teacher spread0.233 · 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 designQualitative
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

Citations1
Published2009
Admission routes1
Has abstractyes

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