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Record W2971858416 · doi:10.1177/2046147x19872239

Paradigm lost? A historical review of the application of systems theory to public relations since 1975

2019· review· en· W2971858416 on OpenAlexaff
Robert Hiscock

Bibliographic record

VenuePublic Relations Inquiry · 2019
Typereview
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsMount Allison University
Fundersnot available
KeywordsSystems theoryField (mathematics)Formative assessmentRelevance (law)Thematic analysisSocial systemGrounded theorySocial theoryEpistemologySociologyData scienceManagement sciencePolitical scienceSocial scienceComputer scienceQualitative researchEngineering

Abstract

fetched live from OpenAlex

This study traces the formative application of systems theory to public relations and its consideration as a promising paradigm framework for the field, through a rich array of critical perspectives, and more recent analyses that examine public relations as a social phenomenon. The principles of grounded theory are applied to the selection and assessment of a representative sample of academic literature published between 1975 and 2016. A categorization framework emerges from the thematic analysis of the data that re-evaluates the historical application of systems theory. Two main insights emerge from the study. First, even in cases where a specific systems theory is not directly invoked, systems concepts are evident throughout the data of this period. Second, although systems theory has been applied extensively in the analyses of the organization, and more lately in the analyses of the impacts of public relations on the social world as a whole, analysis of the individual as a system actor as a central unit of analysis was not apparent in the data. Accordingly, a reflection on the individual as a system actor is undertaken, along with an updated visual model of the public relations system. Concluding remarks summarize the case for the ongoing relevance of systems theory to public relations research, practice, and education.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.006
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.140
GPT teacher head0.390
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2019
Admission routes1
Has abstractyes

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