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Record W6981466238

Eliminación y acopio de basuras de vías públicas que repercuten en la contaminación ambiental y actitud sanitaria de la población de Juliaca, 2021

2024· article· en· W6981466238 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Sample (material)Variance (accounting)Margin (machine learning)PollutionWork (physics)Distribution (mathematics)Regression analysis
DOInot available

Abstract

fetched live from OpenAlex

The present research work entitled: Elimination and support of the holes in the public highway that \naffect environmental pollution and healthcare activity, the impact of the elimination and support of \nthe holes in the public highway on environmental pollution and activity was determined. care in the \npopulation of juliaca 2021, within the scope of study in four critical areas of juliaca: zone a semester \nof huancané, zone b south east exit to Arequipa, zone c north exit to Cusco and south zone exit to \nPuno. The research design was pre-experimental with a group of cases, a single measurement and \nobservation based on three independent variables, elimination and support of the edges of the public \nroad dependent variable: environmental pollution and intervening variables for a total of 238,000 \ninhabitants for whom the percentage distribution was used 5% of the total population. The sample \nsize was 596 inhabitants, 149 for each study area. The survey/questionnaire instrument technique was \nused for the independent and dependent variables and the health behavior test for the intermittent \nvariable. \nBased on a possible contrast of hypotheses, a multiple regression analysis, analysis of variance and \nchi-square were performed, with a margin of error of 5% and a confidence level of 95%. The writing \nstyle is Vancouver style.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.005
GPT teacher head0.258
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it