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Record W7014323747

Plan de diseño organizacional de servicio para la Fundación Cadrón de la parroquia Pascuales en la ciudad de Guayaquil

2019· article· en· W7014323747 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Management and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsFoundation (evidence)Service (business)Plan (archaeology)Work (physics)Order (exchange)Organizational cultureQuality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

The objective of this research study is to design an organizational service plan for the Rosalía Cadrón Foundation. The aim is that the organizational plan allows the foundation to extend its benefits to 23 single mothers, children, and new social, environmental and cultural developmental projects. The resources they have come from Canada. However, they need the help of third parties to provide good quality service to the single mothers who the foundation aids. \nThe organizational design service plan for the Cadrón Foundation was established due to the presence of single mothers who sought a direct relation between the caring of children and the strengthening of work and culture. It is therefore necessary to apply strategies in any service in order for the staff to develop properly, as well as the processes related to orientation in the different areas of care provided by the foundation. Resultantly, an improvement in the service provided is expected, as well as a stable staff that guarantees efficient care towards infants and single mothers. This project covers changes and continuous improvements, where service is the main axis of communication between the respective / associated parties.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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