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Record W4205773668 · doi:10.37956/jbes.v5i1.264

Proposal for an administrative procedures manual with a biosafety approach after Covid-19

2022· article· en· W4205773668 on OpenAlexaboutno aff
Cristhian Gregorio Barreto Silva, Ángela María Pazmiño Nibtes, William Renán Meneses Pantoja, Edisson Javier Mera Silva

Bibliographic record

VenueJournal of business and entrepreneurial studie · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)BusinessMarketingContext (archaeology)Organizational structureService (business)Variety (cybernetics)Coronavirus disease 2019 (COVID-19)Quarter (Canadian coin)Process managementEconomicsComputer scienceManagement

Abstract

fetched live from OpenAlex

The present research seeks to create an organizational structure design for the Restaurant "Mi Galito", to implement sales and distribution strategies in order to contribute in the foundation of solid bases to be able to compete in the current market; due to the current conditions in which the business is found as a result of the pandemic by "Covid-19". Therefore, a descriptive, qualitative-quantitative research was developed with the use of methods in the theoretical order and techniques in the practical order such as interviews and surveys to the main actors involved. As a result, it was found that the business has a high acceptance rate of 90% for the taste of its dishes and with a 100% satisfaction regarding the service, for which the variety of flavors and its low prices are the qualities valued by external customers; also, it was known that the restaurant was not operational during the second quarter of 2020 due to the pandemic that represented a reduction in demand even in the process of reopening. Organizational change due to contingencies in the context makes it imperative to analyze the organizational structure of a business in order to adapt to current demands, obtain profits or survive in the market.

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.

How this classification was reachedexpand

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)0.001
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 score0.108
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.055
GPT teacher head0.266
Teacher spread0.211 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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