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Record W4229779065 · doi:10.1016/s1359-6128(15)30140-3

H2O Innovation to supply systems for US and Canadian water projects

2015· article· en· W4229779065 on OpenAlexaboutno aff

Bibliographic record

VenuePump Industry Analyst · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsnot available
Fundersnot available
KeywordsForegroundingSocial innovationState (computer science)SociologyPolitical sciencePublic relations

Abstract

fetched live from OpenAlex

Social innovation's fundamental objective is to promote life quality. Any new initiative with this purpose might be considered a social innovation. From this concept, it is perceived as social innovation the efforts of the Programa de Educação em Células Cooperativas (PRECE), an initiative originated in Pentecoste, a municipality in the state of Ceará, located in the Brazilian semiarid region. This program has benefitted hundreds of youngsters, enabling their access to knowledge and further approval in university entrance exams. The educational method of collaboration in cells made possible broadening the horizons of many youngsters coming from rural communities, even when lessons were ministered under a tree in the middle of a farm. The objective of this study is to identify the dimensions of social innovation, according to Tardif and Harrisson (2005), existing in the PRECE's proposal. It is aimed to evidence how the initiative is composed, bringing to light the essential elements that make it social innovative. A case study of PRECE was carried out through qualitative research. Data were collected via semistructured interviews with members of the direction and coordination of the Program, and analyzed using the software NVivo 10. The results highlighted how the dimensions of social innovation are composed within PRECE. This research contributes by foregrounding a social initiative that has been capable of changing individual realities in the Brazilian semiarid and showing how such initiative is constituted in the social innovative perspective.

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 score0.371
Threshold uncertainty score1.000

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 head0.031
GPT teacher head0.256
Teacher spread0.225 · 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
Published2015
Admission routes1
Has abstractyes

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