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Record W2791637568 · doi:10.1080/01436597.2018.1432351

Fostering the post-development debate: the Latin American concept of <i>tecnologia social</i>

2018· article· en· W2791637568 on OpenAlexaff
Marlei Pozzebon, Isleide Arruda Fontenelle

Bibliographic record

VenueThird World Quarterly · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsLatin AmericansMainstreamPoliticsSociologyInequalityPolitical scienceSocial changeSocial inequalityPath dependencySocial scienceEconomic growthEconomic systemEconomics

Abstract

fetched live from OpenAlex

This essay revisits the historical development of a concept – tecnologia social – as one avenue for discussing alternatives to post-development, arguing that the Western-based historical path of technology development is one of the main sources of growing human impoverishment, social inequalities and economic dependency. The concept of tecnologia social points towards political processes that create opportunities to redefine the arrangements among social groups, artefacts and methods used in everyday life, particularly for production and consumption. Because the post-development debate has been criticised for formulating a sound and strong critique to mainstream development but failing to propose concrete empirical alternatives, we seek to foster the debate through the Latin American concept of tecnologia social.

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)0.008
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.043
Scholarly communication0.0130.009
Open science0.0010.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.244
Teacher spread0.221 · 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 designTheoretical or conceptual
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

Citations30
Published2018
Admission routes1
Has abstractyes

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