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Record W3088939047

Killing Kennedy: the Death that Changed a Nation and the World

2018· article· en· W3088939047 on OpenAlexaboutno aff
Kurtis McMurray, Matthew McCormac, Jamie Innes

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsHistory
DOInot available

Abstract

fetched live from OpenAlex

This lesson series is designed for use in Ontario's grade 11 American History course. The \nlesson series acts as an entry point for studying America in the Post-War period by examining the John F. \nKennedy assassination and its larger context and repercussions. Students will have the opportunity to \nexamine primary source evidence to make interpretations on the events of November 22nd, 1963 and the \nsignificance of JFK’s influence on United States by internally and externally. The first lesson goes into \ndepth on what happened during the assassination and asks the question how do we know that the \ntraditional narratives of JFK’s assassination are true. The second lesson explores JFK’s impact on \nexternal Cold War policy and this continues and changes when Johnson assumes power. The third \nlesson analyzes multiple cultural perspectives in the United States during the 1960s and connects \nKennedy to the “hippie” movement through the examination of anti-war music and looks at how these \nperspectives and groups impacted identity and citizenship within the United States. Finally, the fourth \nlesson places students in the role of American citizens grappling with loss of JFK and gives them an \nopportunity to voice their opinion on how JFK ought to be remembered in America, asking the question of \nwhat is significant to remember about JFK’s narrative. It is hoped through these lessons that students will \nbe able to think critically about the assassination and its importance to the wider context of America \nthroughout the Cold War. Ultimately, it is hoped that JFK’s story acts as a moral guide for our students to \nquestion the accepted narrative before committing it to the national memory.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.173
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.006
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0250.003

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 head0.016
GPT teacher head0.213
Teacher spread0.198 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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