Evolution of Colombia’s market for manufactured products of the wood industry
Bibliographic record
Abstract
A detailed exploration of the development of Colombia's market for manufactured products of the wood industry since its early days, with an analytical focus on the period 1970-2021, is presented. The examination of early days draws upon historical information, wood industry-specific statistics derived from Colombia’s Annual Manufacturing Survey and industrial census, and data from the National Accounts of Colombia (NAC), which offers insightful understanding of the market dynamics up to the end of the 1960s. For 1970 to 2021 comprehensive consolidated data derived from the Supply and Use Tables of the NAC and other sources provides the base for an in-depth examining of the market aspects such as quantities of supply (national production), demand, and the components of demand – including domestic consumption, exports, and imports. The exploration reveals a significant shift in the manufactured products of the wood industry market’s dynamics, transitioning from a primarily domestic consuming and export-driven one to a market increasingly reliant on imports to satisfy domestic consumption. Critical factors contributing to this shift are identified, highlighting Colombian forest resource depletion and inadequate nation’s wood industry development. The paper synthesizes historical data to articulate the interplay between economic policies and market outcomes, culminating in a discernible need for strategic industry modernization. Furthermore, it offers comprehensive and detailed information, facilitating a thorough understanding of all market aspects without necessitating consultation of additional sources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".