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Record W3039146560 · doi:10.5209/mira.67537

Breve recorrido por el emprendimiento social en Japón: Del Japón pre-moderno hasta el Tōhoku post Fukushima

2020· article· es· W3039146560 on OpenAlexfundno aff
Mario Malo Sanz

Bibliographic record

VenueMirai Estudios Japoneses · 2020
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
FundersJST-Mirai ProgramQueen's UniversityQueen's University BelfastUniversity of CambridgeKanazawa UniversityUniversity of OxfordUniversity of MinnesotaPrinceton University
KeywordsHumanitiesHastaCartographyArtGeography

Abstract

fetched live from OpenAlex

The purpose of this article is to provide an analytical dimension to the social subject known as social entrepreneur, from pre-modern Japan to its new forms of development in the Tōhoku post Fukushima. We are talking about a figure, whose historical conformation we can observe intermittently in the pre-industrial Japan, reaching the modernity of the Meiji period, and whose structural regulations will change substantially after the First World War, to reach our days under different initiatives. The transformation of contextual dynamics at the socioeconomic and political level, together with the phenomenon of globalization, make the concept we use today to define this type of development proposal closely linked to the processes that occurred in Europe and the United States at the end of the 80s, and that it began to have some significance during the first decade of the XXI, reaching important quotas of social significance after the triple disaster of Fukushima in 2011.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.006
Scholarly communication0.0040.002
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.270
Teacher spread0.244 · 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".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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