MétaCan
Menu
Back to cohort
Record W1487047816 · doi:10.1108/17506200810861221

Communities of disentrepreneurship

2008· article· en· W1487047816 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

VenueJournal of Enterprising Communities People and Places in the Global Economy · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsOriginalityValue (mathematics)ContinuationPublic relationsPolitical scienceSociologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

Purpose To examine communities that temporarily demonstrated successful social and economic success, but regressed, or may have cycled through periods marked by unusual success and unusual failure. Design/methodology/approach The authors analyse events in two communities that have experienced disentrepreneurship. Findings The authors attribute three main forces accountable for community disentrepreneurship: a failure in community leadership that allows the continuation of path dependent patron‐client relationships, peripheralisation resulting from both geographical and infrastructure constraints, and failure to adequately diversify the economic environment. It is believed that further study of communities that have experienced such cycles is both warranted, and essential. Practical implications A useful source of information for academics as well as for town planners, policy‐makers and economists. Originality/value This paper addresses a largely overlooked area of the landscape.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.546

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.032
GPT teacher head0.227
Teacher spread0.194 · 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