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Record W2097499980 · doi:10.1177/1078087411428051

Networks Are Not Enough . . . But They Do Matter

2011· article· en· W2097499980 on OpenAlexaffabout
Allison Bramwell

Bibliographic record

VenueUrban Affairs Review · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNexus (standard)Corporate governanceWorkforceNetwork governancePolitical scienceState (computer science)Economic growthEconomic geographyRegional sciencePublic administrationSociologyGeographyEconomicsManagementEngineering

Abstract

fetched live from OpenAlex

This comparison of workforce development networks in Hamilton, Kitchener-Waterloo, and Ottawa, Ontario generates theoretical insights into the dynamics of capacity-building in Canadian cities. Evidence of new forms of state-society relations in Ontario cities suggests that there are features of urban governance that are particular to the Canadian case. None of the three cities was able to sustain a community-wide local workforce development network but networks did exist in all three cases despite the absence of a provincial policy framework, which indicates that the organization of societal interests and the patterns of interaction between them do have an impact on urban governance in Canada. Yet governance efforts in Canadian cities continue to operate in the ambiguous nexus between top–down policy frameworks and bottom–up self-organizing networks, and new forms of governance are difficult to sustain in the absence of supportive policy frameworks.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.444
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.009
Scholarly communication0.0090.007
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.046
GPT teacher head0.211
Teacher spread0.165 · 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 designTheoretical or conceptual
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

Citations13
Published2011
Admission routes2
Has abstractyes

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