Bibliographic record
Abstract
Symbolism as a ʽparataxisʼ, as a ʽjazz of the intellectʼ. This is the starting point of this research, inspired by a socio-literary interpretation of McLuhan’s mediology and developed from a diachronic and exegetic perspective. According to the Canadian sociologist, the footsteps that led to the electric era can be traced through the study of certain writers and poets, whose symbolism provides a number of sociological hints foreshadowing our media modernity. This work aims at investigating the role of symbolism in McLuhan’s sociological research, by outlining how the study of memory and the analysis of literary tradition are fundamental to understand the complex development of communication and cultural studies. This research focuses on the function of symbols as interpretative keys forthe study of media carried out by McLuhan. It is exactly in this artistic movement that the sociologist finds the opportunity to analyze the representative practices (irrational and linear) of modern men, shaped by the reticular patterns of the mind. From this perspective, McLuhan identifies the creative process that lies at the root of symbolist poetry, indentified as ʽa disposition, a parataxis, of components that draws a particular intuition through precise links, but without a point of view, that is a linear connection or sequential orderʼ.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.029 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".