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Record W2947926545

Behaviourism and Governance: A World Bereft of Freedom and Politics

2017· article· en· W2947926545 on OpenAlexaff
Micheal Ziegler

Bibliographic record

VenueStudent Research Proceedings · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical Ethics and Theory
Canadian institutionsMacEwan University
Fundersnot available
KeywordsBureaucracyPoliticsArgument (complex analysis)Corporate governanceContext (archaeology)EpistemologyVirtueLaw and economicsPolitical scienceSociologyPolitical philosophyGovernment (linguistics)Spontaneous orderLawPhilosophyManagementEconomics
DOInot available

Abstract

fetched live from OpenAlex

Today’s world is a world of bureaucratic governance and not of politics. In this context, the purpose of a government is not to engage in politics, but rather to engage in control and order, and to create a world in which people follow and appear to be free. This paper explores the notion that a dominantly bureaucratic state is not one in which the people are free. Through a hermeneutic analysis of certain texts that discuss how such a form of governance comes from and why it does not allow for freedom. Richard Rorty’s Philosophy and the Mirror of Nature and Alasdair MacIntyre’s After Virtue. Rorty’s text focuses on the benefits of behaviourism as a means of knowing the way in which people are and MacIntyre’s work focuses on the shortcomings of behaviourism and the social predictive sciences, and how they effect bureaucracy and government. With a hermeneutic analysis on these texts I have developed a proper and substantive defence of behaviourism and its relation to bureaucratic governance. Once the argument has been properly established, the fallacies within it can be examined and the fundamental argument that people can be controlled as animals, removing their freedom and eliminating politics, can be properly critiqued and dismissed. Discipline: Political Science Honours Faculty Mentor: Dr. Gaelan Murphy

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score1.000

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 studies0.0010.003
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.185
GPT teacher head0.419
Teacher spread0.234 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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