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Record W3046452928 · doi:10.82396/cjcd.v3i2.2984

Collective Intervention Strategies for Intervention by the Economic

2021· article· en· W3046452928 on OpenAlexaff
Yvan Comeau

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInstitutionalisationIntervention (counseling)Economic integrationContext (archaeology)Social integrationPublic relationsPolitical scienceDemocratizationEconomic growthEconomic systemDemocracyEconomicsPsychologyPolitics

Abstract

fetched live from OpenAlex

This paper presents collective intervention strategies that promote the creation and development of democratic economic initiatives focusing on integration by the economic. Integration by the economic aims at sustainable social and professional integration from a standpoint of democratization, social cohesion and the well-being of individuals, with the help of entrepreneurial, group-oriented activities useful to a community. One may consider an intervention through integration by the economic as the outcome of a process resulting, on the one hand, from the influence exerted by structural phenomena which, as the case may be, favour and limit intervention and, on the other hand, strategic managing by players and groups associated with the initiative. The author has identified three types of strategies associated with integration by the economic: interpretative (analysis of local context, education, persuasion), institutional (institutionalization, conflicting cooperation, renewal of community initiatives) and organizational (mobilization of resources, creation of a consensus-building support organization).

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)0.006
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.022
Scholarly communication0.0060.005
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.014
GPT teacher head0.233
Teacher spread0.219 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland)Same topicHermeneutics and Narrative IdentityFrench-language works237,207