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Record W7064651748

The Contribution of International Human Rights Law to the Protection of Privacy: the Case of Mexico

2017· dissertation· en· W7064651748 on OpenAlexfundno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2017
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsHuman rightsInternational human rights lawData Protection Act 1998Entitlement (fair division)Information privacy lawFundamental rightsPrivacy lawReservation of rightsInternational lawThe Right to Privacy
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the contribution of international human rights law to the protection of privacy. It poses the question of whether or not international human rights law can compensate for the limitations that other areas of law have in the protection of privacy with respect to the mandatory collection, retention, use or disclosure of personal information carried out by states. The thesis argues that international human rights treaties and jurisprudence offer principles, frameworks and an individual entitlement that can be applied in domestic jurisdictions to protect the private lives of individuals from abuses of power by states through data processing. To test its argument, the thesis uses Mexico as its case study. Several factors make Mexico an especially useful jurisdiction for this purpose. A right to privacy is not explicitly included in the Mexican legal order and the judiciary has yet to develop privacy jurisprudence. Following a 2011 constitutional amendment, Mexico opened its legal system to international human rights law, incorporating into the national bill of rights those human rights included in international treaties. Mexico offers an excellent opportunity for examining what international human rights law can offer in the protection of privacy of individuals with respect to the mandatory data processing carried out by the state. The thesis demonstrates that the right to privacy included in international human rights treaties has been understood by authoritative interpreters as implying other important principles such as legality, necessity and proportionality. In the Big Data era, where state surveillance is taking on new dimensions, these principles are crucial for the protection of privacy. By showing how the international human rights law on privacy can be received within Mexican law, this thesis shows that the private lives of individuals can be protected from abuses of power committed by the state via data processing.\nEsta tesis examina la contribución del derecho internacional de los derechos humanos a la protección de la privacidad. Se pregunta si el derecho internacional de los derechos humanos puede compensar las limitaciones que otras áreas del derecho tienen en la protección de la privacidad con respecto a la recolección, retención, uso o divulgación obligatorios de datos personales llevados a cabo por los estados. La tesis sostiene que la jurisprudencia y los tratados en derechos humanos ofrecen principios, marcos normativos y un derecho individual que podrían ser aplicados en las jurisdicciones nacionales para proteger la vida privada de los individuos de los abusos de poder llevados a cabo por los estados a través del procesamiento obligatorio de datos personales. Para probar su argumento, la tesis usa a Mexico como estudio de caso. Distintos factores hacen que México sea una jurisdicción especialmente útil para este propósito. El derecho a la privacidad no está explícitamente incluido en el orden jurídico mexicano y el poder judicial aún tiene que desarrollar jurisprudencia sobre privacidad. Tras una reforma constitucional en 2011, México abrió su sistema jurídico al derecho internacional de los derechos humanos, incorporando a la constitución mexicana aquellos derechos humanos incluidos en los tratados internacionales. México brinda una excelente oportunidad para examinar lo que el derecho internacional de los derechos humanos puede ofrecer para proteger la privacidad de los individuos respecto al procesamiento obligatorio de datos llevado a cabo por el estado. La tesis demuestra que el derecho a la privacidad incluido en los tratados internacionales de derechos humanos ha sido entendido por los intérpretes oficiales como implicando otros principios importantes tales como el de legalidad, necesidad y proporcionalidad. En la era del Big Data, donde la vigilancia estatal está tomando nuevas dimensiones, estos principios son cruciales para la protección de la privacidad. Al mostrar cómo el derecho internacional de los derechos humanos en materia de privacidad puede ser recibido dentro del derecho mexicano, la tesis demuestra que la vida privada de los individuos puede ser protegida de los abusos de poder cometidos por el estado vía el procesamiento de datos.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.842

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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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