Emprendre en temps de crisi: cap a les noves xarxes de generació de valor
Bibliographic record
Abstract
Estan preparades l'emprenedoria i les micro, petites i mitjanes empreses (MPIMES) catalanes per competir en el nou món global que basa la competitivitat en el coneixement? Ha canviat alguna cosa en el món de les MPIMES que ens faci pensar que podran articular la transformació i el futur de la nostra economia i la nostra societat? O, al contrari, ¿són una espècie social en perill d'extinció? Aquestes són algunes de les preguntes que han inspirat aquest llibre. A partir d'una recerca sobre les empreses catalanes creades en temps de crisi, aquest llibre analitza els determinants i els resultats de l'emprenedoria innovadora i el seu procés de generació de valor en xarxa. Els resultats ens confirmen bones notícies perquè, tot i la crisi, l'economia catalana amplia la seva base emprenedora innovadora, millora el seu procés de generació de valor i evoluciona cap a una xarxa de negocis. Tot un signe d'optimisme per al futur.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".