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Record W1987568128 · doi:10.1177/0539018412437113

Méthodologie d’analyse conceptuelle appliquée: Comment définir le concept de ‘partenariat public–privé’ dans une perspective juridique et transdisciplinaire?

2012· article· en· W1987568128 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Science Information · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsUniversité LavalMcGill University
Fundersnot available
KeywordsAmbiguityTransdisciplinarityPerspective (graphical)Interpretation (philosophy)General partnershipSociologyEpistemologyPolitical scienceManagement scienceSocial scienceComputer scienceEconomicsLawPhilosophy

Abstract

fetched live from OpenAlex

The increasing use of public–private partnerships (PPP) as a means of delivering public services or constructing public infrastructures draws growing interest in the legal community. The ambiguity and lack of consensus surrounding the content of PPP as a concept, leads the researcher to refer to various disciplinary sources. Widely encouraged in law, transdisciplinarity often suffers methodological insufficiencies when comes the time to define transdisciplinary concepts. The authors revisit the interpretation methods developed by the courts, and propose a complementary conceptual analysis framework. The developed framework is then applied to the emerging concept of public–private partnership, as it is used and defined in various disciplines. The paper demonstrates the feasibility and desirability to provide a transdisciplinary perspective to legal concepts.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0010.018
Open science0.0010.000
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 head0.061
GPT teacher head0.331
Teacher spread0.270 · 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