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Record W2796172026 · doi:10.1177/1538513218763961

Cross-border Hostilities and Regional Planning in the United States and Canada: What Role for Expertise, Insulated from the “Hurry and Strife of Politics”? <sup>1</sup>

2018· article· en· W2796172026 on OpenAlexfundaboutno aff
Jameson W. Doig, Mary Durfee

Bibliographic record

VenueJournal of Planning History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
FundersGovernment of CanadaWashington State University
KeywordsDisappointmentPoliticsSovereigntyPublic administrationPolitical sciencePolitical economyLaw and economicsLawSociologySocial psychologyPsychology

Abstract

fetched live from OpenAlex

Woodrow Wilson argued in a celebrated essay that governmental agencies could be insulated from political pressures, so regional planners and other experts could identify social problems systematically and implement desirable solutions efficiently. That goal is unrealistic under most circumstances. But are there conditions under which Wilson’s aspiration might be achieved? We argue that public agencies with divided “sovereignty” may, under certain conditions, insulate experts who can meet these goals. We specify factors that led to the creation of two such agencies and the variables that have permitted them to achieve significant success, but that have led, at times, to disappointment.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

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

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 head0.030
GPT teacher head0.322
Teacher spread0.292 · 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 teacher head, 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

Citations0
Published2018
Admission routes2
Has abstractyes

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