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Record W3120348627 · doi:10.5430/ijba.v12n1p44

Rethinking State Social Responsibility With the Creation of Shared Public Value

2021· article· en· W3120348627 on OpenAlexvenueno aff
Haroldo de Sá Medeiros, Sérgio Henrique Arruda Cavalcante Forte

Bibliographic record

VenueInternational Journal of Business Administration · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
Fundersnot available
KeywordsPublic valueValue (mathematics)Scope (computer science)Context (archaeology)Perspective (graphical)State (computer science)Public relationsCreating shared valueCorporate social responsibilitySociologyPublic administrationComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Discussions about State Social Responsibility and Public Value are not recent. When linked to each other there is not an incremental theoretical sequence that shows the evolution of responsibility in public organizations. This essay aims to elaborate a framework for public administration, based on the Creating Shared Value (CSV). The use of CSV is justified because it allows the conceptual comparison between public and private perspectives. This framework was called State Creation of Shared Public Value and the operational structure of the CSV was maintained with the levels and the evaluation mechanism, but the original definitions were re-specified for the context of Public Value. The CSV based structure through levels and stages guarantees a gradual increase in the scope of benefits from public services that can be framed in the same perspective, with no restrictions of areas or segments for their use through Public Value.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.409

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 communication0.0000.001
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 head0.034
GPT teacher head0.277
Teacher spread0.242 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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