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Entrepreneurship Model of Professional Development of Actuaries in Canada

2019· article· en· W2955638589 on OpenAlexaboutno aff
Sergiy Babiy, Olha Bezkorovaina, Олена Матвієнко, Stanislav Petko, Валентина Іванівна Тернопільська, Руслана Сойчук, Nataliia Stanislavchuk

Bibliographic record

VenueRepository of Samara University (Samara National Research University) · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Business Development Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsActuaryAccreditationCertificationProfessional certification (computer technology)Professional associationProfessional developmentProfessional standardsPolitical scienceManagementBusinessPsychologyActuarial sciencePublic relationsPedagogyEconomics

Abstract

fetched live from OpenAlex

The features of the professional activities of actuaries, in particular in Canada were determined; the basic models and directions of professional training in the actuarial profile were clarified; national and international standards governing the training of actuaries in Canada and the world were analyzed. The features of dual education within the framework of university training were characterized and the role of accredited HEIs in the system of professional training of these specialists were outlined. The specifics of the acquisition of full and associate membership in the CIA on the basis of the leading North American professional associations – Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) were presented. The content and organizational and pedagogical aspects of the acquisition of the qualification of a certified actuary of entrepreneurial risks in Canada were characterized.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.975
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.083
GPT teacher head0.228
Teacher spread0.145 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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Same venueRepository of Samara University (Samara National Research University)Same topicEconomic and Business Development StrategiesFrench-language works237,207