Sponsor
Hatfield School of Government. Public Affairs and Policy Ph. D. Program
First Advisor
Craig W. Shinn
Term of Graduation
Fall 2023
Date of Publication
12-15-2023
Document Type
Dissertation
Degree Name
Doctor of Philosophy (Ph.D.) in Public Affairs and Policy
Department
Public Affairs and Policy
Language
English
Subjects
complex adaptive system, digital humanities, institutional field, K-12 education, topology, value
DOI
10.15760/etd.3699
Physical Description
1 online resource (xviii, 279 pages)
Abstract
Institutional fields serve as foundational bedrocks that shape and govern behaviors, norms, and practices within distinct domains of societal and organizational interactions. The emergence of machine learning and the ability to manipulate large datasets offer researchers and decision makers the potential ability to model and visualize the behavior associated with institutional fields.
This proof of concept provides an example of visualizing the changing conditions in the institutional field of public K-12 education in America as a topology. By interweaving three primary strands of theory -- institutional fields, complexity in the guise of complex adaptive systems as a paradigm, and paradigms as logical systems, this research develops a novel methodology utilizing digital machine learning tools to generate a visualization of the institutional field.
The significant contribution of this study to institutional theory is the establishment of a proof of concept that institutional fields can be rigorously defined, measured, and modeled to yield valuable insights for policy and decision-makers. To demonstrate this proof of concept, the research introduces an Adaptive Institutional Topology Theory (AITT) as a guiding framework. This novel approach combines topic modeling and sentiment analysis with a newly developed Narrative Value-Based Coding (NVBC) technique, specifically designed to augment these digital methods.
Leveraging this model, it becomes possible to identify short-term trajectories for the institutional field, highlighting the roles of theory, definition, and visualization. Policymakers, organizational strategists, and researchers will find this methodology valuable in understanding institutional behavior, anticipating changes, and formulating effective strategies within the field. Importantly, the methodology presented is scale- independent, making it applicable across various scales of social organization.
Rights
© 2023 Jennifer Jean Joyalle
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
https://archives.pdx.edu/ds/psu/41136
Recommended Citation
Joyalle, Jennifer Jean, "American Institution of Public, K-12 Education: An Institutional Field Under a Complexity Paradigm" (2023). Dissertations and Theses. Paper 6567.
https://doi.org/10.15760/etd.3699
Appendix A: Model Scripts
last_visualization.zip (944 kB)
Appendix B: LDAvis Animated Graphic of Full Corpus, 50 Topic Model
topic_weights_words_35_50_100_sample.xlsx (44 kB)
Appendix C: Top Weighted Words for 35, 50, 100 Topic Size
stop_word_entities.zip (31 kB)
Appendix E: Stop Words and Entities
topic_information.zip (6525 kB)
Appendix F: Topic Information
NVBC_results.xlsx (84 kB)
Appendix G: Narrative Value-Based Coding Data Table
graphs.zip (2847 kB)
Appendix H: Topic Graphs and Sentiment Analysis Graphs
topic0_lda.zip (590 kB)
Appendix I: LDAvis Animated Graphic of Corpus for Topic 0
Comments
Appendix D is the metadata file for the full corpus of 37,187 article used in this research. It is only available from the author upon request.