Bibliographic record
Abstract
The world mattress industry report is published annually by CSIL and the 2015 edition contains current and historical data and analysis for a total of 60 countries. It focuses on the 40 most important mattress manufacturing countries, i.e. Argentina, Australia, Austria, Belgium, Bulgaria, Brazil, Canada, Chile, China, Czech Republic, Denmark, Finland, France, Germany, Greece, India, Indonesia, Ireland, Italy, Japan, Kuwait, Malaysia, Mexico, the Netherlands, Norway, Poland, Portugal, Romania, Russia, Saudi Arabia, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, United Arab Emirates, the UK and the United States. Data on international trade of mattresses cover (in addition to the 40 countries listed above), 20 other countries, for a total of 60 countries. The report consists of five parts. Part I deals with production, consumption and international trade of mattresses and includes a section on world mattress industry statistics and an appendix with methodology notes. Part II consists of 40 country analysis sections, which include: mattress industry trends of production, apparent consumption, exports, imports for the years 2005-2014 and forecasts of yearly changes in mattress market for 2015-2016. Major trading partners (origin of imports and destination of exports of mattresses). Information on breakdown of production by material (innerspring, latex, foam, other) and on quantity if available. Short profiles of top mattress manufacturers operating in the country. Information on distribution systems and main players. Part III includes detailed profiles of 30 major mattress manufacturers (financial highlights, manufacturing process, distribution, products, sales performance). Part IV and Part V contain website addresses of selected mattress industry suppliers and full addresses of mattress manufacturing companies mentioned in the report. New in the 2015 edition: Country analysis for 5 additional countries: Argentina, Chile, Kuwait, Saudi Arabia, United Arab Emirates.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.052 | 0.045 |
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".