A Threat to Order: A Voegelinian Exploration of Modernity, Spiritual Crisis, and Resistance
Bibliographic record
Abstract
The purpose of this thesis is to explore the spiritual crisis that arises because of a disjunct between the symbols that are of the highest concern to an individual society and the overarching Liberal symbols which inform broader narratives.Using Eric Voegelin's theory of representation, this discussion will weigh the consequences of imposing dogmatic "gnostic" approaches against claims that adherence to a single set of symbols is the best way to mitigate conflict and avoid future insecurity.This discussion will analyze the spiritual crisis that arises from pressure to embrace a particular overarching metaphor and the possibility that this spiritual crisis may manifest in the form of a resistance identity, and, furthermore, conflict.I would like to express my sincere gratitude to Professor Darby for his willingness to supervise and take me on as a graduate student.I will be forever thankful for his generosity and guidance throughout this experience.Secondly, I would like to thank Professor Hanvelt for agreeing to be my second reader, and, beyond that, for his support throughout my M.A. Thirdly, I would like to thank Professor von Heykingfirst
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.035 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".