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Record W7038299832

'Growing Pains' star and TV host Alan Thicke dies at 69

2016· other· en· W7038299832 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2016
Typeother
Languageen
FieldArts and Humanities
TopicLiterature, Film, and Journalism Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWifeTheme (computing)Order (exchange)Statement (logic)RomanceGeorge (robot)
DOInot available

Abstract

fetched live from OpenAlex

Alan Thicke's 1980s TV dad credentials were neatly in order on "Growing Pains." His Dr. Jason Seaver was an open-hearted parent and an enlightened husband, working from home to help tend the kids while his wife revived her career. One of TV's favorite dads has died...Alan Thicke played Doctor Jason Seaver for seven seasons on Growing Pains...a Father Knows Best-like guy who was supportive...and funny...The show launched the career of Kirk Cameron who played oldest son Mike...said in a 1999 interview he still felt like a kid around his TV dad...Cameron said "I'm shocked and truly heartbroken today at the news of his death. Alan was a generous, kind and loving man. I am so blessed to have grown up with him."Thicke's TV credentials are long...a composer of theme songs from "The Wheel of Fortune" and "Diff'rent Strokes." A writer for Barry Manilow's talk show.He hosted his own talk show in 1983, taking on Johnny Carson with "Thicke of the Night"...and has a long list of acting credits.The Los Angeles Times spoke with his son, singer Robin Thicke, who called his father the greatest man I ever met and always a gentleman.Thicke was born in in Ontario, Canada and was a huge hockey fan...Robin Thicke confirmed his father was playing hockey with his other son Carter when he suffered a heart attack.His passing led to a statement from the Edmonton Oilers..."RIP to one of the great ones, Alan Thicke," was posted on the hockey team's website, with a photo of a young Thicke and Wayne Gretzky on the ice.He was 69.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.082
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0670.002

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 head0.013
GPT teacher head0.218
Teacher spread0.206 · 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
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
Published2016
Admission routes1
Has abstractyes

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