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Record W2118966520 · doi:10.1177/0759106314543637

L’indice d’intensité des temps forts - Une méthode mixte en analyse biographique

2014· article· en· W2118966520 on OpenAlex
Sylvain Bourdon, María Eugenia Longo, Eddy Supeno, Camila Deleo

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

VenueBulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsArticulation (sociology)Index (typography)Event (particle physics)Meaning (existential)CategorizationScale (ratio)NarrativeSociologyComputer sciencePhysicsEpistemologyArtGeographyPhilosophyPolitical scienceLiteratureArtificial intelligenceCartographyLaw

Abstract

fetched live from OpenAlex

An Intensity Index for Important Moments - A Mixed Method Biographical Analysis: Given the scale and complexity of data collected in large biographical qualitative surveys, the challenge is to develop the meaning that events take as seen by those who live them, without resorting to anecdotes. This paper proposes an articulation of qualitative and quantitative approaches based on intensity index of important moments ( indice d’intensité des temps forts or IITF) that translates methodologically and statistically the event density variations that dot youth life course trajectories. An emergent categorization of important moments is presented and the association between areas of high event density and changes in the sphere of employment is examined using the IITF. A brief return to youth biographical narratives concerning these turbulent zones identified by index permits us to deepen understanding of these high intensity moments.

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)0.038
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0380.065
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.137
GPT teacher head0.317
Teacher spread0.180 · 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