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Record W7055577933

Capacitación en el área administrativa y contable a través del proyecto Despertar Emprendedor de la Fundación Internacional María Luisa de Moreno, sede Suba Flores

2017· dissertation· es· W7055577933 on OpenAlexaboutno aff

Bibliographic record

VenueCiencia Unisalle (Universidad de La Salle) · 2017
Typedissertation
Languagees
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
Fundersnot available
KeywordsPersonaContext (archaeology)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

A través de la Fundación Internacional María Luisa de Moreno y con el apoyo de la Universidad de la Salle se desarrolla el proyecto Despertar Emprendedor que tiene como objetivo dar a conocer temáticas relacionadas con la parte administrativa y contable con el fin de ayudar a las personas en la creación de una idea de negocios exitosa. \nLa sede donde se desarrolló el proyecto “Despertar Emprendedor” fue en el barrio Suba Flores ubicado en la localidad 11, el programa empezó con la participación de 26 personas y se llevaba a cabo los sábados de 8 am a 11:30 am. \nDurante el proceso se explicaron temáticas como punto de equilibrio, estados financieros, legalización de una empresa, entre otros, estos contenidos fueron sugeridos por la Fundación y en total se realizaron 21 sesiones. \nCada uno de los participantes fue un elemento esencial para el desarrollo de las actividades ya que a través de sus experiencias el grupo podía contextualizar los temas explicados. \nAl final del proyecto se visualizan las ideas de negocios de cada uno, donde se identifican las fortalezas y los aspectos por mejorar; Como facilitadores es muy gratificante observar que los estudiantes reconocen las herramientas brindadas y realizan una aplicación correcta de ellas

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)0.005
metaresearch head score (Gemma)0.008
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: Other · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.320
Teacher spread0.313 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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