Komparativna analiza dvaju modela sekularizacije: Željka Mardešića i Charlesa Taylora
Bibliographic record
Abstract
Throughout history as in today's world, there are transformations that affect every aspect of our lives every day. One of the extremely important transformations that has taken place is definitely secularization. Secularization is a complex concept that does not lose its relevance and is inexhaustible subject of many scientists. This paper deals with the analysis of the interpretation of the concept of secularization by Željka Mardesic and Charles Taylor. Both authors have made an impressive contribution to the study of this topic. The purpose of this paper is to outline their theses and compare them. Choosing the method of comparing the theses of these authors is expressed by the desire to gain insight into whether the thinking differs depending on the continent from which the authors come. The work will present and confront the model of secularization in the European context and the model of secularization in the Canadian-American context.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".