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Record W4401354806 · doi:10.1515/9783111519791-003

Revival with Community Capitals

2024· book-chapter· en· W4401354806 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Part Three Revival with Community CapitalsTwo aspects of embedded, house economies are well known in rural studies.One is regional collaboration, based on trusted connections within and among the communities.The proliferation of tiny communities-Champney's East, Champney's Arm, Champney's West-bears witness to a history of conflict.One resident told me how, when he was a teenager, if he boated across the harbour he risked being beaten.Much tension was denominational, even within communities. 114Doug Penney tells me that in his childhood, all churches kept their doors open on Sunday so as better to drown out the others.Tensions across communities have not entirely disappeared.However, current community leaders and researchers recognize the value of cooperation across communities and organizations. 115 Social Capital: Embeddedness and CollaborationThe importance of regional collaboration is apparent when we consider its scarcity in the history of Niagara Falls.Collaborative forbearance and agreements to husband the public resource of the Falls appeared in opposition to the "peddlers, hucksters, con artists and sideshow men [who] became extremely aggressive in their attempt to profit from tourists". 116 Once collaboration became institutionalized, hotel founding rates increased and failure rates declined.Such collaboration is  Prior to the amalgamation of school boards in 1997, educational resources in Newfoundland were split among denominational school boards, whether (at one time) Anglican, Methodist, and Roman Catholic or (later) Pentecostal, Roman Catholic, and a set of Protestant denominations.This fissure for years had the support of "the merchant-clerical-administrative elite of St. John's," regardless of its acknowledged wreckage of public education (McCann 1988:63).Major (2001: Chap.24) provides nuanced coverage of the role of religion in the painful growth of education on the island and virulent rivalry between denominations. For community leaders, see Stoddart et al. (2020).For researchers on tourism, see Besser and Miller (2013) and Wilson et al. (2001). Ingram and Inman (1996), who might have been too optimistic, because Niagara Falls has just been ranked the worst tourist trap in Canada: https://casago.com/blog/biggest-tourist-traps-worldwide/.They did offer egregious examples of its prior "excessive commercialism" (1996:632).With Niagara Falls, governmental action proved crucial, with the creation of the public park on the Ontario side of the border.The open sea fishery is an extreme example of the tragedy of the commons.For the global industry, which relies on government subsidies and severely exploited labour, good sources are Pauly (2019); Sala et al.

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)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0150.031
Scholarly communication0.0140.016
Open science0.0020.029
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0200.002

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 head0.083
GPT teacher head0.232
Teacher spread0.149 · 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.

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

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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