Review of Douglas Mark Ponton. 2024. Exploring Ecolinguistics: Ecological Principles and Narrative Practices. Bloomsbury
Bibliographic record
Abstract
Douglas Mark Ponton of the University of Catania and published in 2024 under the esteemed banner of Bloomsbury, constitutes a work of profound significance within the field of ecolinguistics, elucidating the intricate interplay between language and ecology.The author delves deeply into a series of pivotal issues concerning how language influences environmental perception and subsequent human actions, as previously addressed by renowned authors such as Fairclough (2015), Stibbe (2015), Fill and Penz (2018), Ross (2019), and Thompson (2019).This review aims to scrutinize the principal themes presented by the author and emphasize their relevance in linguistic and environmental research.The publication begins with a citation from David Suzuki, renowned for his program 'The Nature of Things' 1 .This citation emphasises the urgency for an honest assessment of the economic system's adverse impact on the environment.Ponton employs this citation as a point of departure to explore the relationship between language and the environment, accentuating how the way we narrate stories about the environment can sway our perceptions and actions.This aspect is necessary within the realm of ecolinguistic studies as it proves the potency of environmental narratives in shaping environmental policies and human actions.A focal element of the book involves an analysis of the roots of modernity, encompassing industrial, technological, and informational revolutions.Ponton 1 "The Nature of Things" is a Canadian television series featuring documentary programs.It first aired on CBC Television on November 6, 1960.Most of the programs focus on nature and the impact of human activities on it, but the series also covers documentaries on various scientific subjects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.015 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".