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Record W2097499980 · doi:10.1177/1078087411428051

Networks Are Not Enough . . . But They Do Matter

2011· article· en· W2097499980 on OpenAlex
Allison Bramwell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.760
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.008

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