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Record W4413233207 · doi:10.26522/ssj.v19i2.4852

Adelphos Foundation: Efforts to Build Trust and Bonds Among Different Neighborhoods in the City of Quito

2025· article· en· W4413233207 on OpenAlexvenueno aff
Jaime Baquero de la Calle Rivadeneira, Ivy Fabiola García López, Néstor Olivier Tovar Larenas

Bibliographic record

VenueStudies in Social Justice · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEducational and Organizational Development
Canadian institutionsnot available
Fundersnot available
KeywordsFoundation (evidence)SociologyPolitical scienceBusinessEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

One of the most notable characteristics of the city of Quito, Ecuador, is how people's location reflects their social class.Neighborhoods of lower socioeconomic status are usually situated on the slopes of the Pichincha volcano and, in almost all cases, are part of the city's periphery.The people living in these neighborhoods are often marginalized from the productive sectors of society, facing high rates of unemployment or participation in the informal economy.Their social exclusion has deepened in recent years due to rising violence and the emergence of gangs and criminal organizations fueled by drug trafficking; distrust has become the bitter fruit of this worsening crisis.In 2015, the Adelphos Foundation was established -first in practice and then in legal form -to promote visits to the homes of individuals living in these peripheral neighborhoods, with the goal of establishing direct dialogue in a relaxed environment.The Foundation's aim is to achieve mutual understanding and learning, creating bonds of trust and breaking prejudices among the various social groups of the Ecuadorian capital.By 2022, 610 homes had been visited, fostering relationships that opened up job opportunities.Since late 2022, in response to the country's economic crisis, the visits have focused on accompanying and supporting families, ensuring -among other things -that daughters and granddaughters of domestic workers, if they so wish, can access some form of higher education.The connections have fostered Adelphos Foundation Studies in Social Justice, Volume 19, Issue 2, 384-392, 2025 385 social change in the mindset of the volunteers and the lives of the families they serve.Ecuador, like many countries in Latin American, is characterized by the presence of clear social contrasts.These differences are often delineated by geographic zones: urban vs. rural, central urban vs. marginal urban, north vs. south, plains vs. ravines, etc.In the city of Quito, a significant number of peripheral neighborhoods are located on the slopes of the Pichincha volcano (Unda, 1998).Many of these neighborhoods have grown informally through settlements that are outside the legal framework (Chacón et al., 2023, p. 56).People with limited resources took possession, in practice rather than legally, of territories belonging to private estates or the state, settling down and awaiting the reactions of the authorities: first the houses, then whatever may follow.In other, more fortunate cases, landowners ceded their properties to the employees of old estates once urban growth had engulfed them.These geographic and socioeconomic divisions also reflect a deeper historical legacy of colonialism and racial inequality, particularly affecting indigenous and Afro-Ecuadorian communities.In Quito, family incomes vary drastically depending on the neighborhood.The minimum wage in Ecuador is $460 US per month (Ministerio de Trabajo, 2023), contrasting with incomes that can be up to fifty times higher in other economic contexts that are often physically adjacent to the poorest areas.Yet even this contrast is inadequate to reflect class differences between people because of unemployment and underemployment, the rates of which are alarming and on the rise, as indicated by studies on multidimensional poverty in Ecuador (Añazco & Pérez, 2016, p. 11).People in situations of economic vulnerability typically reside in the marginal urban neighborhoods, where deprivations related to the labor market are evident (Burgos & Cando, 2016, p. 42).Although basic services (drinking water, sewage and electricity) are generally available for most citizens, access to quality education remains limited for individuals in the peripheral neighborhoods of Quito.While the Constitución de la República del Ecuador (2008), in Article 26, establishes that education is a fundamental right and that all citizens have the right to free education up to the high school level, the reality is that not everyone has access to educational institutions that guarantee the necessary levels of training for successfully pursuing higher education.This truncates the aspiration of an undetermined number of adolescents with high potential.There is no lack of talent, but rather, of opportunities.The quality of education is often directly linked to the financial capacity of families, with private schools offering much better education than most public institutions.The same is true of the healthcare system (Bustamante & Armas, 2018), whose immediacy and quality in care are almost always indisputable when it comes to the private healthcare system; however, access to this system is directly proportional to the economic resources of the citizen.

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)0.003
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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.030
GPT teacher head0.323
Teacher spread0.293 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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