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Record W6991697474

An IFLAS open lecture with Kate Rawles - The life cycle: a biodiversity bike ride

2018· other· en· W6991697474 on OpenAlexaboutno aff

Bibliographic record

VenueInsight (University of Cumbria) · 2018
Typeother
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeEndangered speciesAdventureClubBiodiversityRainforestVariety (cybernetics)RhinocerosAmazon rainforest
DOInot available

Abstract

fetched live from OpenAlex

In 2017/18 Kate Rawles aka @CarbonCycleKate rode the length of South America on ‘Woody’ a bicycle made of bamboo that she built herself at the London-based Bamboo Bicycle Club from bamboo grown at Cornwall’s Eden Project. From Colombia to Cape Horn, (or as close as you can get to it on a bike), Kate and Woody – the UK’s first ‘home-grown bicycle’ - travelled for 8288 miles following the spine of the Andes through an astonishing variety of landscapes and ecosystems, from Pacific ocean to high Andes paramo; from cloud and rainforests to Bolivian salt flats and the Atacama desert. The aim was to explore biodiversity: what it is, what’s happening to it, why that matters and, above all, what can and is being done to protect it – and then to use the adventure story to help raise awareness and inspire action on this hugely important but relatively neglected environmental challenge. En route, Kate, who rode most of the journey solo, visited a wide range of projects and met some truly inspiring people. From a school whose entire curriculum was based on turtles to a group of young people standing up against one of the largest gold corporations in the world; from a woman who bought millions of acres of Chile to turn then into nature conservation reserves to an organisation protecting endangered monkeys by showing local people how to earn money by turning waste plastic into high fashion handbags rather than by catching monkeys for the illegal (but lucrative) wildlife pet trade. Having arrived back in the UK by cargo ship, Kate will share pictures and stories of her adventure, the highs and lows, the challenges, the ethical dilemmas and sustainability learning, the people and places and of course, the bamboo bike. Kate’s previous ‘adventure plus’ journey, The Carbon Cycle, a ride from Texas to Alaska exploring climate change, lead to a slide show and a book that was shortlisted for the Banff (Canada) Mountain Festival Adventure Travel Book Award. Writing The Life Cycle book is underway!
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\nWeb: www.outdoorphilosophy.co.uk
\nTwitter & Instagram: @CarbonCycleKate
\nFaceBook: The Life Cycle@biodiversitybikeride

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.156
Threshold uncertainty score0.520

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0050.002
Scholarly communication0.0070.006
Open science0.0010.007
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.1560.060

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 head0.021
GPT teacher head0.242
Teacher spread0.221 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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