Migraciones locales en el partido de General Pueyrredon (provincia de Buenos Aires): factores económicos y socio-ambientales (1970-2006)
Bibliographic record
Abstract
In General Pueyrredon District (Provincia de Buenos Aires) since the seventies a resettlement process were noticed that favor the growing of small towns next to route 2, 11, 88 and 226 routes. One of these small towns is the �2 de Abril� quarter, which was chosen as investigation area due to the residential demographic growing proved through several data sources. The objective of this investigation is to observe the influence that economical and socio- environmental facts performs in the decision to do local migrations and a choice of a new place for residence. A qualiquantitative methodology has been used. Data came from a structural inquiry performed in 2001 and from forty five semistructured inquiries carried out in 2005. The results show that homes came from several quarters of Mar del Plata City, and from other ones of General Pueyrredon District. It was noticed that the main factors at the moment to decide a local migration were the economical ones, followed by the socio-environmental ones. In many cases coincidences among the reasons that propiciate the migration and those that favored the choice of the new place of residence were observed.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".