Book Price Dynamics, Publication Date, and Concentration in the Italian Book Market. A Descriptive Exploration of the Italian and Foreign Fiction Books, 2022-2025
Bibliographic record
Abstract
This paper examines some characteristics of the Italian book market. Monthly data published by Il Giornale della Libreria, using NielsenIQ BookData, offers a detailed and timely analysis of the 100 best-selling books in the main market segments. Our analysis focuses on Italian and foreign fiction and evaluates the recent dynamics of price, publication date, and sales concentration from January 2022 to August 2025. Over this period, the average price of the 100 most-read Italian and foreign fiction books remained virtually constant in nominal terms, with some seasonal fluctuations. The average price of foreign fiction books is slightly higher than the average price of Italian fiction books. In both segments, the average age of the 100 best-selling books (calculated as the difference between the entry date in the monthly ranking and the publication date) remains virtually constant over the period examined. The age of foreign fiction books is higher than that of Italian fiction books. Temporary variations are also observed, with age decreasing in the last quarter of the year. Finally, the concentration of sales does not reveal any significant pattern.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".