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Record W4413142681 · doi:10.3138/jsp-2024-0027

Use of ResearchGate and Academia.edu by Austrian Professors from Business Administration

2025· article· en· W4413142681 on OpenAlexvenueno aff
Christian Schlögl, Marianne R. E. Reynante, Gerhard Reichmann

Bibliographic record

VenueJournal of Scholarly Publishing · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBusiness Strategy and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsAdministration (probate law)BusinessBusiness managementBusiness administrationPolitical scienceLaw

Abstract

fetched live from OpenAlex

The aim of this article is to investigate the presence of Austrian university professors from the field of business administration ( n = 233) in ResearchGate, Academia.edu , and, for reasons of comparison, Scopus and identify possible correlations between the indicators offered by these sites. The results reveal that 95 per cent of the researchers considered are represented on Scopus and that 78 per cent have an account on ResearchGate, while Academia.edu is used by only 42 per cent. As the bibliometric and social indicators related to ResearchGate show, professors actively use this site to promote and share their research with other colleagues. This is different for Academia.edu , which is only regarded as a ‘second choice’ by many researchers. The correlations of the Scopus metrics with the bibliometric metrics on ResearchGate are very strong, while those with the usage metrics are ‘only’ strong (between 0.7 and 0.76).

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)0.010
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.994
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.058
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0140.023
Science and technology studies0.0010.001
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.091
GPT teacher head0.301
Teacher spread0.210 · 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.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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