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Record W7037708454

Ekonomický rozvoj kanadskej Akrtídy a dopad ťažby nerastných surovín na populáciu Inuitov

2017· dissertation· en· W7037708454 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2017
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine Invertebrate Physiology and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)BachelorOrder (exchange)PoliticsPrime minister
DOInot available

Abstract

fetched live from OpenAlex

The bachelor thesis analyses and compares three main periods of the economic development in the Canadian Arctic, starting from the years 1950's until the end of the administrative of Prime Minister Harper in 2015. Mining of natural resources, as the base of the North's development, has been seen by the federal government also as a tool for cultural assimilation of Inuit into the dominant society. Nevertheless, participation of Inuit in mining activities and in fact in the whole employment culture has had serious impact on Aboriginal communities who have never been consulted about the federal strategy. However, while the first phase of development is characterized by strict colonialist approach of the government, the situation started to change during the second phase, characterized by a rising of Inuit's political participation and their first demonstrations of discontent. Although during the third, neoliberal era, several new mechanisms in order to improve the dialogue between Inuit, mining companies and the government were accepted, social conditions in Inuit communities remain below the Canadian average and with the government "laissez-faire" attitude they are not to be changed any time soon.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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.

Study designObservational
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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