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Record W4251686604 · doi:10.1353/wsq.2018.0050

How to Win Friends and Influence People

2018· article· en· W4251686604 on OpenAlexaboutno aff
Janna Klostermann

Bibliographic record

VenueWomen's studies quarterly · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Reading (process)SociologyServantMedia studiesLawPolitical science

Abstract

fetched live from OpenAlex

How to Win Friends and Influence People Janna Klostermann (bio) There was something aboutthe way my yoga-loving,jog-on-your-lunch-break,public-servant friend Lauriespotted me plowing through amaple cream donut and cheered, Aw, honey, good for you!There was something aboutthe way Mrs. Miracle Network TVJoyce Meyer heralded, No scripting here; it's all done by the Holy Spirit.There was something aboutthe way the captain of thePeterborough Petes whispered,after downing fourteen cansof cold-enough Coors Light, We don't have to have sex, but would you at least give me a blow job?There was something aboutthe way Real Housewife ofBeverly Hills Lisa Vanderpumpbatted her eyelashes andannounced, unscripted, [End Page 281] I wouldn't let any of my waitresses burn to death.There was something aboutthe way my low budget,"pay what you can" therapistrolled her eyes and proclaimed, Don't bother critiquing the system if you can't even meet your own needs.There was something aboutit all that made me realizeif I truly wanted power—power where there isutterly none to be had—I'd either have to startspeaking for the Holy Spiritand soliciting blow jobsor burning to death. [End Page 282] Janna Klostermann Janna Klostermann is a PhD student in Carleton University's Department of Sociology and Anthropology in Ottawa, Canada. She is researching the classed politics of everyday work, and is writing a collection of queer stories about care. Her work has appeared in Canadian Woman Studies, Literacy and Numeracy Studies, Our Times, Reading Sociology, Room, and Women & Environments. She can be reached at jannaklostermann@gmail.com. Copyright © 2018 Janna Klostermann

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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 designQualitative
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

Citations11
Published2018
Admission routes1
Has abstractyes

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