El micro comercio y su contribución al desarrollo familiar de los comerciantes del mercado 10 de noviembre en el primer trimestre del 2019
Bibliographic record
Abstract
The present project arises with the purpose of establishing the contribution that micro-commerce has in the development of families, with the general objective of: Analyzing micro-commerce and its contribution to family development of market traders November 10 in the first quarter of the year 2019. For which it is considered to use the descriptive study and in this way to determine demographic characteristics of the merchants as well as singularities of the activity such as investment, generation of resources, beneficiaries, satisfaction of needs, for which the researchers used the survey as the information collection technique that was processed using the statistical software SPSS for the representation of the information in tables and figures, for the easy understanding of the information gathered with which it has been established that despite the income received these have allowed them to cover basic needs tant or of them as of their relatives, since with these they can acquire the necessary food, cover expenses of education, housing, health and clothing of the relatives who are dependent on the micro merchants. Key words: micro commerce, family economic development, market November
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".