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Record W2591717757 · doi:10.1080/00346764.2017.1300316

Trust, cultural norms and financial institutions in rural communities: the case of Cameroon

2017· article· en· W2591717757 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReview of Social Economy · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsTyndale University
Fundersnot available
KeywordsBusinessFinancial instrumentCultural valuesFinanceSociologyEconomicsEconomic systemSocial science

Abstract

fetched live from OpenAlex

The success of the operations of formal and informal financial institutions (IFIs) hinges on a high degree of trust. The pivotal role of trust warrants careful analysis regarding its formation in these financial institutions. Using the case of Cameroon, the paper interrogates trust development between formal financial institutions and their clients, and between IFIs and their members. Trust formation occurs via certain cognitive trust-building processes: calculative, prediction, intentionality, capability, and transference processes. The paper argues that trust formation through these processes is predicated upon cultural values and beliefs. It is precisely because of cultural norms that traditional leaders play a role in ensuring that loans granted by formal financial institutions are repaid, thereby serving as principal actors in the functioning of financial capitalism in rural areas. The interplay between culture and financial institutions reconfigures the financial architecture in rural zones. Culture creates a social relational anthropology that is significant for how financial institutions operate.

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 categoriesnone
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 score0.909
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.054
GPT teacher head0.301
Teacher spread0.247 · 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