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Record W2399852705 · doi:10.5281/zenodo.3782956

Project to set up Service for Seccure Remote Access to Files from Data File Linkages

2007· article· en· W2399852705 on OpenAlexaffabout
Madeleine Filion, Line Belanger

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2007
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Storage Technologies
Canadian institutionsQuebec Statistical Institute
Fundersnot available
KeywordsComputer scienceDatabaseService (business)Set (abstract data type)World Wide WebBusinessProgramming language

Abstract

fetched live from OpenAlex

With a view to promoting research while ensuring privacy, the Institut de la statistique du Québec, the Québec government's official statistics agency, has undertaken, in partnership with researchers and other government agencies, to set up a service that will provide researchers with secure remote access to microdata files resulting from the linkage of various administrative or survey data files already available. This new service features a number of advantages for researchers, privacy authorities and the agencies holding administrative data files: nbsp;easier and faster information searching using a web-accessible integrated data dictionary; a standardised procedure for authorising and obtaining data files that is recognised by all interested parties; linkage of administrative data files that do not have the same identification number using proven statistical methodologies; masking of data files from the linkage to prevent spontaneous recognition; remote access by researchers using anbsp;highly secure mechanism, which ensures confidentiality.

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 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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesOpen science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.214
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0100.017
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.141
GPT teacher head0.350
Teacher spread0.208 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreMethods

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
Published2007
Admission routes2
Has abstractyes

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