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Record W3122894735

Situación en medio de la pandemia de los productos y servicios relacionados con el estilo de vida Yoga y Mindfulness

2021· dissertation· es· W3122894735 on OpenAlexaboutno aff
Saire Yicel Morales Guerrero, Omar Albeiro Babativa Anacona

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldSocial Sciences
TopicDiverse Applied Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessProductivityQuarter (Canadian coin)Work (physics)Order (exchange)HumanitiesPsychologyWelfare economicsBusinessPolitical scienceGeographyArtEngineeringEconomicsPsychotherapistEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

The situation of all industries and unions from the second quarter of 2020 has not been easy and has represented countless challenges for the country's productivity. In this work it has been decided to study the conditions in which the market for products and services related to yoga and mindfulness is found. All information collected here has been used systematically in order to provide timely information to the reader. As the main tool, a survey provided by the tutors has been used in which more than 9,000 people with different personal, demographic and social characteristics were surveyed. With this valuable information, a database analysis work was carried out with which high impact conclusions for the sector were reached and, together with a robust investigative work, everything mentioned below was compiled.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.366
Teacher spread0.352 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes1
Has abstractyes

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