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Record W4381192739 · doi:10.32920/23542089

Ontario’s Water Policy Reform Examined through a Groundwater Lens: An Analysis of Provincial Policy Measures and Newspaper Media Framing Around Groundwater 2000- 2019

2023· preprint· en· W4381192739 on OpenAlexaffabout
Caroline John

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsToronto Metropolitan UniversityUniversity of New Brunswick
Fundersnot available
KeywordsFraming (construction)GroundwaterNewspaperCorporate governanceEnvironmental planningPolitical scienceGeographyBusinessEngineeringLaw

Abstract

fetched live from OpenAlex

<p>Groundwater is often neglected in water resources governance and management initiatives which is due in part to groundwater’s rural and out of sight nature. In Ontario, 20 years ago, the Walkerton tragedy served as a wake-up call to address the lack of knowledge and long-term health of water resources in the province. This focusing event caused a punctuated equilibrium in the policy arena of Ontario allowing for significant water policy reform in the province. This paper argues that despite Ontario leading in many aspects of water governance, groundwater still faces governance and public awareness challenges in the province. In this two-phase study, a longitudinal content analysis of provincial legislative initiatives and newspaper media framing on groundwater are undertaken through the period of May 2000 to June 2019. Results show that Ontario’s groundwater initiatives have focused on the criteria of land-use control on potentially polluting activities, groundwater based urban/industrial planning, and public participation in groundwater management. Newspaper media across the province employ predominantly neutral framing of issues around groundwater and a varying mix of both thematic and episodic framing elements are found. Provincial leadership towards groundwater initiatives and a wide-ranging strategy around groundwater policy and communications to elevate consciousness around the resource are recommended.</p>

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.330
Teacher spread0.262 · 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 teacher head, not a consensus.

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
Published2023
Admission routes2
Has abstractyes

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