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Record W3008423529

Killing Us Softly: Causes and Consequences of the Global Depopulation Policy

2013· article· en· W3008423529 on OpenAlexaff
Kevin Galalae

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural risk and resilience
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsOffensivePopulationPolitical scienceDeceptionPoliticsSecrecyPopulation controlDevelopment economicsInternational communityGovernment (linguistics)Political economyEconomic growthLawSociologyEconomicsFamily planningDemography
DOInot available

Abstract

fetched live from OpenAlex

SSRN NOTE: SSRN has designated this as a Non-Scholarly paper and has assigned it to the section of the website that hosts Opinion papers. Since the end of the Second World War and with the formation of the United Nations in 1945, international peace and stability have been maintained by controlling population growth. Unbeknown to the masses, governments have used covert methods to limit births in developed and underdeveloped countries alike and to accelerate deaths in Africa and a few critically poor and overpopulated areas elsewhere. Births have been prevented by interfering with the reproductive system so as to lower human fertility, while deaths have been promoted by weakening the immune system so as to increase morbidity and mortality. The methods used by every country to control population growth have been dictated by the level of development and the existing infrastructure as much as by political will or lack thereof and have either been imposed by force and deception from the outside or adopted willingly by the governing, military and scientific elites of nation states that have relied on the moral, technical and monetary assistance of the United Nations, its agencies, and the greater international community. Regardless of the methods used to control population and whether they are imposed or self-imposed, strict secrecy and deception have been necessary to prevent the masses from discovering the bitter truth that for the past 68 years they have been the object of a silent and global offensive, a campaign of attrition that has turned the basic elements of life into weapons of mass infertility and selective death. Without our knowledge or consent, governments the world over have subverted our reproductive freedom and ability to procreate to achieve ambitious and necessary demographic objectives and in the process have committed the most odious and wide-sweeping crimes in human history to save mankind from even greater evils: nuclear annihilation, mass starvation, and environmental devastation. The birth of nearly two billion people has been prevented and the death of half a billion hurried. While these goals have been intentional, the architects of the Global Depopulation Policy have unintentionally undermined the genetic and intellectual endowment of the human species and have set back eons of natural selection. Their intentions have never been malevolent, but the unintended results of their actions are frightening. It is the task of this book to reveal this silent offensive’s secret methods and insidious means, which make up the world’s greatest con, so that an awakening to the dire realities we face will prompt each and every human being on earth to demand a share of the responsibility and population control can be legislated across the globe, with little or no resistance, for the next three generations or until our numbers are sufficiently low to allow humanity to live in balance with nature and at peace with itself. This is the only way our children will have a future and a life of dignity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0050.008
Scholarly communication0.0050.005
Open science0.0010.006
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0230.001

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 head0.007
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2013
Admission routes1
Has abstractyes

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