Bibliographic record
Abstract
This paper works from a Jungian perspective to explore the unconscious dynamics of an authoritarian cultural complex at work in public schools in the United States. The paper exposes two areas of what Jung called the shadow archetype: the historical narrative of child labor during the industrial revolution as a traumatic societal event; and mythic images of the Greek Father-gods who buried, ate, or imprisoned their children. The working hypothesis of the paper is that the trauma of child labor operates as a social force, an unconscious archetypal pattern of authority and exploitation that is imaged and illuminated by the mythic narratives of the Greek Father-gods. Using depth psychological concepts and methods, the paper reveals how these repressed traumas create unconscious cultural attitudes that view children as commodities whose innate value and potential are sacrificed to feed the nation’s economic power and growth rather than leading out the potential within each student. Kristeva’s theories of abjection and subject in process provide psychoanalytic insights into how authoritarian cultural attitudes toward the education of children enslave students in a mandated instructive process that inflicts a kind of violence upon them. In conclusion, the paper suggests that the current system of education calibrated to standardized testing needs to broaden significantly to include transformative educative processes encompassing learning through the body, senses, feeling, intuition, and imagination.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".