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Record W3120843108

Measure to Manage: Ghost PLUZ Collector App

2017· article· en· W3120843108 on OpenAlex
Nisha Panesar, Gwen O’Sullivan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueURSCA Proceedings · 2017
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsMount Royal University
Fundersnot available
KeywordsRecreationUsabilityGeoreferenceFishingSmartphone appData collectionGovernment (linguistics)Measure (data warehouse)GeographyPhoneEnvironmental resource managementComputer scienceBusinessEnvironmental planningWorld Wide WebDatabaseEnvironmental scienceHuman–computer interactionFisheryEcology
DOInot available

Abstract

fetched live from OpenAlex

The Ghost Public Land Use Zone (PLUZ), located 60 km northwest of Calgary, is a popular area for recreation activities such as camping, hiking, fishing, and driving off-highway vehicles (OHVs), despite lack of sufficient facilities to support these activities. There is a desire among concerned residents for a better understanding of the current land use to warrant the development of more facilities, to help decrease widespread environmental damage resulting from recreation. Using Esri’s Collector for ArcGIS, a smartphone app was created which allows residents to record incidents of environmental damage related to recreation, with or without cell reception. The data fields and the data input structure were designed in collaboration with the residents to ensure optimal usability. Data is automatically georeferenced and stored on ArcGIS Online, Esri’s cloud-based mapping platform, allowing multiple people to use the app and view the data simultaneously. The app was successfully tested by the community users, their feedback was recorded, and the app has drawn interest from Alberta government representatives who make decisions about recreational planning in the Ghost PLUZ. * Indicates faculty mentor.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.030
GPT teacher head0.325
Teacher spread0.296 · 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