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Record W4240595589 · doi:10.22230/cjnser.2020v11n2a359

The Hybridization of Credit Co-Operatives in the Tradition of F.W. Raiffeisen: The Austrian Example

2020· article· en· W4240595589 on OpenAlexvenueno aff
Gregor Rabong, Dietmar Roessl

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsServantPolitical scienceWelfare economicsHumanitiesBusiness administrationEconomicsBusinessPhilosophyEngineering

Abstract

fetched live from OpenAlex

The legal purpose of credit co-operatives in Germany and Austria is to promote their members economically. However,legal restrictions prevent them from discriminating between members and non-members. Thus, they have difficulty generating economic benefits for their members. There are signs that they are gradually developing from being purely member-focused to somewhat third party-focused co-operatives striving for the common good. The question arises whetherthis hybridization is in the interest of their members. This article examines this question using quantitative data. Theresults indicate that members perceive activities geared toward the common good as enhancing their membership valueand are applicable to credit co-operatives and credit unions that have difficulties providing economic benefits to theirmembers, as is the case for Raiffeisen credit co-operatives in Europe.Le but légal des coopératives de crédit en Allemagne et en Autriche est d’aider leurs membres d’un point de vueéconomique. Cependant, certaines contraintes légales empêchent celles-ci de faire la distinction entre membres et nonmembres. En conséquence, elles peuvent avoir de la difficulté à réaliser des bénéfices économiques pour leurs membres.mIl y a toutefois des signes que, d’organismes purement focalisés sur leurs membres, elles sont en train de devenir desmorganismes focalisés sur des tiers et servant le bien commun. On peut se demander si une telle hybridation est dans l’intérêt des membres. Cet article examine la question en recourant à des données quantitatives. Les résultats indiquent que les membres perçoivent les activités visant le bien commun comme améliorant la valeur de leur adhésion; ils croient en outre que de telles activités sont pertinentes pour les coopératives de crédit et les caisses d’épargne là où celles-ciont de la difficulté à fournir des bénéfices économiques à leurs membres, comme c’est le cas pour les coopératives decrédit Raiffeisen en Europe.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.175
GPT teacher head0.310
Teacher spread0.135 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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