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Punctuating Which Equilibrium? Understanding Thermostatic Policy Dynamics in Pacific Northwest Forestry

2007· article· en· W2008429742 on OpenAlex

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.

Bibliographic record

VenueAmerican Journal of Political Science · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsOrthodoxyPublic policyPolicy studiesInstitutionState (computer science)Institutional changePolitical sciencePopulationPolicy analysisTheme (computing)Public administrationEconomicsPublic economicsSociologyGeographyLaw

Abstract

fetched live from OpenAlex

A key theme among seminal contributions to policy studies, including Baumgartner and Jones (1993; 2002), Sabatier and Jenkins-Smith (1993), and Hall (1989; 1993), is that “external perturbations” outside of the policy subsystem, characterized by some type of societal upheaval, are critical for explaining the development of profound and durable policy changes which are otherwise prevented by institutional stability. We argue that these assumptions, while useful for assessing many cases of policy change, do not adequately capture historical patterns of forest policy development in the U.S. Pacific Northwest. Differences in policy development concerning state and federal regulation of private and public forest lands governing the same problem, region, and population challenge much of the prevailing orthodoxy on policy dynamics. To address this puzzle, we revisit and expand existing taxonomies identifying the levels and processes of change that policies undergo. This exercise reveals the existence of a “thermostatic” institutional setting governing policy development on federal lands that was absent in the institutions governing private lands. This thermostatic institutional arrangement contained durable policy objectives that required policy settings to undergo major change in order to maintain the institution's defining characteristics. Policy scientists need to distinguish such “hard institutions” that necessitate paradigmatic changes in policy settings from those that do not permit them.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.004
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.357
Teacher spread0.327 · 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