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Record W4231111944 · doi:10.22215/etd/2017-11867

The Great Divide: Citizen Science in the Anthropocene at the Columbia Icefield

2017· dissertation· en· W4231111944 on OpenAlexaboutno aff
Andrej Iwanski

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropoceneIce fieldWildernessGeographyHumanityEnvironmental ethicsEcologyPhysical geographyPolitical science

Abstract

fetched live from OpenAlex

At the dawn of the Anthropocene humankind’s ability to influence its geophysical surroundings through processes – often times technological and industrial – has brought to the forefront the inextricably intertwined character of the natural environment and human culture. At the heart of this often reckless relationship stands Alberta, Canada. Located in Jasper and Banff National Park at hydrographic apex of the Rocky Mountains, the Columbia Icefield, an icon of historic “pristine” Canadian wilderness, is now undergoing immense change. The Icefield’s shifting environmental systems have generated new spatial and temporal relationships between humanity and nature. As a result, a new protagonist has gained prominence: the citizen scientist. This thesis seeks to open discussions on historical and future time, and our engagement with the earth through the speculative rediscovery of the Columbia Icefield by means of citizen science.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.461
Threshold uncertainty score0.927

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0350.024
Scholarly communication0.0160.007
Open science0.0010.011
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.297
Teacher spread0.271 · 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 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
Published2017
Admission routes1
Has abstractyes

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