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Record W2916486144 · doi:10.1080/01442872.2019.1581161

Identifying historical policy regimes in the Canadian and Australian communications industries using a model of path dependent, punctuated equilibrium

2019· article· en· W2916486144 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePolicy Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsnot available
FundersAustralian National UniversityChartered Institute of Logistics and Transport
KeywordsPunctuated equilibriumOperationalizationPath dependenceConsistency (knowledge bases)Path dependentSunk costsEconomicsPath (computing)Great recessionComputer scienceIndustrial organizationMicroeconomicsMathematical economicsKeynesian economics

Abstract

fetched live from OpenAlex

Comparative policy analyses can be enriched by systematically examining temporal sequences over long periods of time. Yet the literature provides little guidance on operationalizing a systematic approach to trace how “history matters”. In this article, we introduce a model of path dependent, punctuated equilibrium to demonstrate how technological and institutional legacies restrict the policy options available for deploying new communications technologies in Canada and Australia. The research adopts a long-term view of the respective communications industries beginning with the policy choices made from the time of the telegraph and the resulting policy paradigms that continue to influence policy choices made in the present. We find that the consistency of these approaches can be explained by the concepts of technological momentum and policy regimes that reinforce the original policy rationale adopted to deploy the telegraph. Many other types of networked infrastructure exhibit similar characteristics of path dependent, punctuated equilibrium in that it is difficult to undo the legacies, including the sunk-costs, interests, and habits that form around the use of the respective networks and their related institutions. We posit that the model presented here will prove useful in tracing networked infrastructure policies over time, particularly in comparing cross-national policy approaches.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.182
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.301
GPT teacher head0.434
Teacher spread0.134 · 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