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Record W7100665373

Golf's Environmental Message: Old News or New? Now is not the time to be complacent with golf's environmental issues.

2015· article· en· W7100665373 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSafeguardingDiligenceDue diligenceLegislationNaggingGrassrootsEnthusiasmStakeholderMistakeQuality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

'GOlf courses are good for the environment. " "Golf's guide to environmental stewardship." "Environmental commitment on the golf course. " How many times have you heard these types of statements over the past 15 years? Be that as it may, environ-mental awareness and activism is not old news; it will remain a core issue for the golf industry for decades to come. Safeguarding environmental quality should continue to be a primary goal of the golf industry. Yet, too often, Green Section staff members hear golf course officials and staff comment, "We're doing all of that " or "It's time to move on to a new issue " or ''I'm tired of hearing about IPM. " More subtly, they watch a person's eyes glaze over at the mention of environmental issues. Although research studies demonstrate that proper turf grass management does not threaten environmental quality, as an industry we cannot afford to claim victory too early.Without due diligence when making day-to-day management decisions and continually communicat-ing the responsible efforts taken to care for the environment, the golf industry is only one misapplication away from receiving a black eye and finding itself scrambling to improve its environ-mental image yet again. Pesticide and water issues alone should be enough motivation to con-vince superintendents and course officials that the golf industry needs to remain actively involved in environ-mental stewardship. These topics will loom on the horizon for many years. Several communities throughout the United States and beyond are lobbying 4 GREEN SECTION RECORD for the elimination of all synthetic pesticide and fertilizer use on turf areas, including golf courses. In 2002, the Supreme Court of Canada ruled that municipalities were allowed to ban the use of lawn pesticides. In 2004, legisla-tion in Suffolk County, N.Y, proposed to ban the cosmetic use of pesticides by homeowners and lawn care operators.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.630
Threshold uncertainty score0.528

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.6300.443

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 head0.121
GPT teacher head0.304
Teacher spread0.183 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

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