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Harold D. Lasswell, <i>The Decision Process: Seven Categories of Functional Analysis</i>

2016· book· en· W2512772132 on OpenAlex
Karsten Ronit, Tony Porter

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

VenueOxford University Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPoliticsArgument (complex analysis)EpistemologyPolitical sciencePositive economicsLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract This chapter comments on Harold Lasswell’s 1956 book The Decision Process: Seven Categories of Functional Analysis, a controversial work that has exerted a profound influence on political science and the way political processes are perceived. The discussion begins by summarizing Lasswell’s core argument, paying particular attention to the seven stages of decision-making that he describes in this book: intelligence, promotion, prescription, invocation, application, termination, and appraisal. The chapter then situates The Decision Process within Lasswell’s general work and more specifically within his studies on decision-making, both before and after the book was published. It also assesses the reception of the book, along with its impact on the debate on political decision-making and on modern applications in domestic and international politics. The chapter concludes by suggesting some areas for future application and research.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.956
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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