Bibliographic record
Abstract
The concept of unconscious represents a phenomenon whose history hasn’t been discussed at all within academic spaces meant for this. Its history is still not well known and, specifically at Brazilian undergraduate curriculums, all points that the most important part of the research traditions that created it is not transmitted, be it for the intrinsic politics and ideologies of the undergraduate programs, be it for mere ignorance. The present work proposes to tell a part of this story, being based, specially, upon the works of the Swiss-Canadian psychiatrist Henri F. Ellenberger. For such enterprise, it will be necessary to line out some contours and contexts that circumscribe the relation of this concept with the German Romanticism, pointing out the impact that different concepts of Man and Nature that came from there left as legacy for the current times. Obviously, without having the ambition of mirroring all of this topic’s coverage in this article, at least it seeks to present a frame of the innumerous windings that this concept carries from past centuries, enclosing a brief chronology of names, times and thought.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".