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Record W155887977

Geographic information systems and site selection issues of open sea cage culture

2009· book-chapter· en· W155887977 on OpenAlex
J Jayasankar

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

VenueEprints@CMFRI Open Access Institutional Repository (Central Marine Fisheries Research Institute) · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyQuarter (Canadian coin)Perspective (graphical)GeolocationCartographyGenealogyHistoryComputer scienceArchaeologyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

As is much known in the Information Technology circles,
\na pair of numbers narrates the past, describe the present
\nand in fact most importantly seal the future. The pair
\nobviously means the latitude and longitude of the location
\nany where under the sky. This perspective of referencing
\nany type of information be it scientific, sociological,
\npsephological or economic, has taken the world of
\nanalytics by storm in past quarter of a century. The last
\ndecades of the previous millennium were dotted with
\nspurt in methodologies and software which were totally
\ndependent on this type of geo-referenced data.
\nInformation collected serially over time, popularly known
\nas time series, always had a huge role to play in studying
\nthe impact of changing eras and centuries at larger level
\nand seasons and cycles in shorter duration.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0070.014
Open science0.0040.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.072
GPT teacher head0.386
Teacher spread0.314 · 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