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Record W3097027240

The Cultural Knowledge ― Development Nexus

2013· article· en· W3097027240 on OpenAlexfundno aff
Belyaev Demyan

Bibliographic record

VenueTSpace · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
FundersUniversity of TorontoGovernment of Ontario
KeywordsNexus (standard)Political scienceKnowledge managementComputer science
DOInot available

Abstract

fetched live from OpenAlex

The contemporary debate on the importance of knowledge for economic development has so far mainly focused on applied knowledge such as technology or human skills, more or less directly related to industrial production. The role of the so-called “orientation(al)” knowledge, i.e. commonly held beliefs, values and ideologies, still remains underexplored. On the understanding that the social and cultural organisation of human society varies from place to place and produces a distinctive socio-cultural spatial context, this study advances the hypothesis that said context may have a significant impact on a given area’s socioeconomic development, not least by way of policy design and implementation. It asks whether “cultural” knowledge, as a constitutive part of this broader sociocultural spatial context, can foster development, making it “knowledge-based” in the widest sense of the term. If that is the case, to what extent and how does that happen?; what are the implications for the construction of a “knowledge society” in an increasingly globalized world of cultural overlaps and mergers? The study examines some aspects of existing culture-development one-way causality models (Hofstede vs Minkov) and matches these to the author’s reading of the data and his personal observations/earlier studies of Portugal and Croatia. The possibility of a “circular”culture-development link is brought up in the conclusion.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.545
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.051
GPT teacher head0.416
Teacher spread0.365 · 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.

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

Citations0
Published2013
Admission routes1
Has abstractyes

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