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Record W2584790701 · doi:10.5539/jsd.v10n1p112

Analysis of the Economic Viability in the Implementation of the Chemical Waste Management System in Teaching and Research Laboratories

2017· article· en· W2584790701 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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Sustainable Development · 2017
Typearticle
Languageen
FieldChemical Engineering
TopicChemical Safety and Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsProcurementHazardous wasteOutsourcingChemical wasteEngineering managementBusinessWork (physics)Waste managementChemical laboratoryOperations managementRisk analysis (engineering)EngineeringMarketing

Abstract

fetched live from OpenAlex

The prudent management of hazardous materials, from their procurement to their proper disposal, is a critical element of a departmental laboratory safety program. However, it is known that the management of chemical residues involves a high cost and few studies are carried out aiming at assisting in the implementation of this system of management mainly about educational and research institutions. This work therefore presents the economic feasibility analysis in the implementation of the chemical waste management system in laboratories of a Brazilian University. The data were obtained through a questionnaire applied to the technicians of the laboratories generating chemical residues, these being, teaching, research and clinics of the university. The economic-financial analysis has shown that the internal treatment of waste with the construction of a laboratory in the university is an unfeasible project. However, the project is feasible using the already existing structure, such as the chemistry laboratory in the idle periods. In this way, waste treatment on the university campus is feasible, in relation to the costs involved with outsourcing. However, it is necessary to ensure that the chemical standards for sewage disposal, as stipulated by the responsible bodies, are achieved.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.293
Teacher spread0.282 · 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