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Record W6894255135 · doi:10.5443/12044

Cliff edge, Tuktoyaktuk 1947 to 2008, Beaufort Sea, northern Canada

2016· dataset· en· W6894255135 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Polar Data Network · 2016
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAerial photographyCliffAerial surveyGeoreferenceBeaufort seaPhotogrammetryAerial photosPhotography

Abstract

fetched live from OpenAlex

The following dataset represents cliffs, beach and coastlines as they existed along the Beaufort Sea since 1947. These features provide an accurate representation of the land/water interface at a given time and position along the coastline. Aerial photography provided by National Airphoto Library (NAPL) and satellite imagery (Worldview 2 and Quickbird) provided the base layer for the dataset. The 2001 field survey data were used as the control for georeferencing the imagery. Digital coastlines, cliff lines and beach crests were generated from the accurately georeferenced aerial photography. The cliff depicted in the aerial photography was digitized as a line and saved as a vector file for each year that the base data was available. For more information please refer to the datafiles entitled: CCIN12044_20150114_Tuktoyaktuk_cliff_YEAR_Extended_Metadata_FGDC.xml

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.045
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0120.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.027

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 head0.018
GPT teacher head0.236
Teacher spread0.218 · 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

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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