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Record W4316690317 · doi:10.35869/ces.v0i44.4377

OTIMIZAÇÃO DE CUSTOS NOS PROCESSOS AQUISITIVOS? UMA ANÁLISE ÀS IPSS DO ALTO MINHO

2023· article· pt· W4316690317 on OpenAlex
Filipe Macedo, Susana Bernardino

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCooperativismo e economía social · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsBusinessSociologyEnvironmental economicsEconomics

Abstract

fetched live from OpenAlex

As Instituições Particulares de Solidariedade Social (IPSS) desempenham um papel fulcral na nossa sociedade, na resposta aos mais significativos problemas sociais vigentes. Tendo em conta a limitação de recursos que as IPSS geralmente dispõem para a prossecução da sua missão social, a otimização dos processos assume um papel fundamental, de entre os quais se poderão incluir os processos aquisitivos. Este artigo tem como objetivo entender a forma como as IPSS do Alto Minho desenvolvem os processos de compra e analisar em que medida recorrem a instrumentos como serviços partilhados ou centrais de compras como forma de otimização de custos no processo aquisitivo. Através da análise a um inquérito por questionário aos responsáveis das organizações, observa-se que estas entidades apesar de disporem de algum conhecimento sobre os conceitos de serviços partilhados e centrais de compras, ainda não encetaram a sua implementação, seja por motivos de desconhecimento ou pela inexistência de respostas no território.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.006

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 head0.060
GPT teacher head0.329
Teacher spread0.269 · 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