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Record W2909816338

NPO 2.0? Exploring the web presence of environmental nonprofit organizations in Canada

2009· article· en· W2909816338 on OpenAlexaboutno aff
Josh Greenberg, Maggie MacAulay

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessNonprofit organizationWorld Wide WebEnvironmental resource managementPolitical sciencePublic relationsComputer scienceEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

This paper maps the web presence of environmental nonprofit organizations (ENPOs) in Canada. It focuses upon a sample of 43 websites which were examined in April/May 2009. All of the websites belong to member organizations of the Climate Action Network-Canada, a peak ENPO with collaborative networks in the United States and Europe. Our interest is in examining the extent to which the online activities of ENPOs correspond with a ‘broadcast’ paradigm—based on the principle of one-way information flow—or a two-way ‘dialogical’ paradigm of communication. Special attention is given to addressing the use of social media technologies (Web 2.0) by these ENPOs, including Facebook, Twitter, RSS feeds and blogs. The findings interrogate the tension between instrumental and dialogical forms of communication. They also demonstrate that although there are cases of effective web-based communication by ENPOs, most are not leveraging the potential these technologies afford for constituency engagement, relationship building and conversation. The findings contribute to scholarship on nonprofit communication, environmental communication, social media and public relations.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0060.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0000.001
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 head0.022
GPT teacher head0.249
Teacher spread0.226 · 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 designObservational
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

Citations129
Published2009
Admission routes1
Has abstractyes

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