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Record W2129293853 · doi:10.1007/s11266-009-9101-4

A Grounded Qualitative Study of the Meanings of Effectiveness in Canadian ‘Results-Focused’ Environmental Organizations

2009· article· en· W2129293853 on OpenAlexaffabout
Raymond A. Dart

Bibliographic record

VenueVOLUNTAS International Journal of Voluntary and Nonprofit Organizations · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsPopularitySustainabilityValue (mathematics)Affect (linguistics)Public relationsQualitative researchPopulationGrounded theoryKey (lock)PsychologySociologyPolitical scienceSocial psychologyEcologySocial science

Abstract

fetched live from OpenAlex

Abstract This research examines the manner in which effectiveness is socially constructed and interpreted within a subpopulation of “practical solution delivering” Canadian environmental organizations. Key findings are that effectiveness is not framed by ENGO staff in terms of sustainability-related outcomes of value, despite contextual reasons why this might be so. Instead, effectiveness is interpreted in terms of popularity and engagement with the public, with funders and with other key stakeholders. This suggests that despite organizational and population affirmations to the contrary, the environmental programs and activities are designed to engage human awareness and affect more than to create practical environmental change.

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)0.018
metaresearch head score (Gemma)0.026
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 score0.211
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0290.027
Scholarly communication0.0080.003
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.243
Teacher spread0.235 · 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

Citations25
Published2009
Admission routes2
Has abstractyes

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