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Record W4407356986 · doi:10.1093/cdj/bsaf002

Philosophy, practice, and politics of community development: lessons from extension fieldwork in Newfoundland, 1960–1982

2025· article· en· W4407356986 on OpenAlexafffundabout
Scott McLean

Bibliographic record

VenueCommunity Development Journal · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Saskatchewan
KeywordsPoliticsCommunity developmentContext (archaeology)DirectiveSociologyPublic administrationWork (physics)Community organizationPolitical scienceSocial changePublic relationsEnvironmental ethicsSocial scienceLawGeography

Abstract

fetched live from OpenAlex

Abstract One of the most significant community development initiatives in Canadian history was sponsored by Memorial University of Newfoundland (MUN) from 1960 to 1982. Fieldworkers employed by MUN Extension worked across the province of Newfoundland and Labrador, engaging in strategies of community change that included social action, citizen participation, public advocacy, local services development, and popular education. The fieldworkers were guided by a philosophy of community development that positioned their work as politically neutral, non-directive, and educational in nature. In the latter 1970s, this philosophy—along with the community development practices it supported—was challenged by institutional changes that required fieldworkers to engage in externally directive projects oriented towards natural resource development. This historical case study of the evolution of community development philosophy and practice in Canada has important implications for contemporary scholars and practitioners elsewhere. Those implications include the importance of understanding both the institutional politics of organizations through which community development work occurs and the socio-political realities of the communities served by those organizations. Readers of this article will appreciate its nuanced account of a major community development initiative and will be inspired to reflect upon the institutional and socio-political context of their own work.

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)0.008
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.960

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0440.030
Scholarly communication0.0060.003
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.286
Teacher spread0.237 · 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 designQualitative
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 routes3
Has abstractyes

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