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Record W6962881615 · doi:10.18372/2786-823.1.19273

Ways to improve the professional competencies of logisticians in crisis minds

2024· article· uk· W6962881615 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueElectronic Institutional Repository of the National Aviation University of Ukraine (National Aviation University, Ukraine) · 2024
Typearticle
Languageuk
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Supply chainCrisis managementPandemicInformation technologyOrganizational learning

Abstract

fetched live from OpenAlex

1. Riggio R. E., Newstead T. Crisis leadership. Annual review of organizational psychology and organizational behavior. 2022. Vol. 10. pp. 201-224. https://doi.org/10.1146/annurev-orgpsych-120920-044838 
\n2. Шатайло О. Кризи соціально-економічних систем: прояви та ознаки. Вісник Київського національного торговельно-економічного університету. 2019. Т. 124. № 2. С. 91-102. URL: https://journals.knute.edu.ua/scientia-fructuosa/issue/view/35 (дата звернення: 29.10.2024). 3. Компетентності менеджера з логістики промислового підприємства / Л. Ліпич та ін. 2021. Економічний часопис національного університету імені Лесі Українки. 2021. Т. 1, № 25. С. 119-128. https://doi.org/10.29038/2786-4618-2021-01-119-128
\n4. Online university teaching during and after the covid-19 crisis: refocusing teacher presence and learning activity / C. Rapanta et al. Postdigital science and education. 2020. Vol. 2, no. 3. p. 923–945. URL: https://doi.org/10.1007/s42438-020-00155-y
\n5. Городянська Л. В. Роль цифрової компетентності фахівця у сфері кібербезпеки в умовах воєнних загроз. Формування компетентностей обдарованої особистості в системі позашкільної та вищої освіти : науковий журнал, Київ : НАУ, 2023. № 1. С. 210-217. https://doi.org/10.18372/2786-823.1.17497 
\n6. Lee S.-H. Crisis classifications in mobility: Reporting the first COVID death in Taiwan. Discourse studies. 2024. https://doi.org/10.1177/14614456231219741 
\n7. Ковцур К. Г., Любий Є. В. Сучасні затребувані компетенції логістів на ринку праці. Вища освіта за новими стандартами: виклики у контексті діджиталізації та інтеграції в міжнародний освітній простір : матеріали ІІ міжнар. наук.-метод. конф., 23 берез. 2023 р. Харків : Харків. нац. автомоб.-дор. ун-т., 2023. С. 75-77. URL: https://dspace.khadi.kharkov.ua/handle/123456789/17151 (дата звернення: 29.10.2024).
\n8. Here’s how you can assess the essential skills and competencies of logistics professionals. LinkedIn. 2024. URL: https://www.linkedin.com/advice/1/heres-how-you-can-assess-essential-skills-lpbdf (date of access: 19.10.2024).
\n9. Logistics 4.0 skills requirements: evidence from a developing country. Canadian journal of business and information studies. 2022. p. 24-36. https://doi.org/10.34104/cjbis.022.024036 
\n10. Training of future logistics and supply chain managers: a competency approach / N. Zamkova et al. Financial and credit activity problems of theory and practice. 2023. Vol. 1, № 48. p. 427-440. https://doi.org/10.55643/fcaptp.1.48.2023.3946 
\n11. The effect of collaboration and IT competency on reverse logistics competency - Evidence from Brazilian supply chain executives / E. A. R. de Campos et al. Environmental impact assessment review. 2020. Vol. 84. https://doi.org/10.1016/j.eiar.2020.106433

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.011
GPT teacher head0.202
Teacher spread0.190 · 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