MétaCan
Menu
Back to cohort
Record W2335754193

Lunch at Petra: Greene, Gargoyles and the Sixth-Grade Field Trip

2010· article· en· W2335754193 on OpenAlexaboutno aff
Kathryn LaFever

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture analysis
Canadian institutionsnot available
Fundersnot available
KeywordsField (mathematics)ArtMathematics
DOInot available

Abstract

fetched live from OpenAlex

“The world is not what I think, but what I live through,” said Maurice Merleau-Ponty (2002, p. xv). I am inclined to agree, murmuring those words like a prayer as I drive my two young sons to elementary school through a treacherous predawn snow. Through the darkness, I am enmeshed in morning rush-hour traffic as a hypnotizing snow pounds the windshield, completely obscuring the view between swipes. The Inuit have about a hundred words to describe different kinds of snow; I might call this type snow day or anticipate a wreck snow. Miles back, I tested the road and skidded through a stop sign. Yet, the snow does not deter the steady stream of over-caffeinated drivers clipping past at least forty miles above the legal limit, reminding me of George Carlin’s line about two types of drivers, morons and maniacs: morons drive too slow and maniacs, too fast. As the windshield wipers more or less keep time with the Christmas carols on the radio, I’m conscious of the reality of my sons’ lives reified with those of passing strangers, driving like maniacs, and think fleetingly of Hannah Arendt’s quote, “we are a combination of freedom and fate” (Torres, 1998, p. 172). I think also of phenomenological-existentialist Maxine Greene (2001), who urges individuals to a state of wide-awakeness, to “come awake to the colored, sounding, problematic world” (p. 7) in a universe in flux and open but offering no guarantees. My two young boys in the backseat, however, are caught up in a completely different kind of moment. For them, the snow is a source of delight, a gift from God, and another reason for jubilant celebration. It is the first major snow of the season. And it is Friday, the last day before Winter Break, the last school day of the year. It is also the day I’ll be chaperoning my eldest son’s sixth- grade class on what has been billed as an aesthetic field trip. A cascade of laughter and Cheerios, visible in the blinding high-beam headlights immediately behind us, fly through the air from the backseat, as my youngest proclaims, “It’s snowing.” Suddenly the Dodge pick-up that has been riding my bumper passes me, muscles within a hair’s breadth of my front bumper, and then slams on his brakes. I do the same, hold my breath, and brace for a crash, just as a few Maxine Greene books slide off the passenger seat, and my sixth-grade son says nonchalantly, “Hey, don’t talk to the kids about art today.”

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.011
GPT teacher head0.229
Teacher spread0.217 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueWestern CEDAR (Western Washington University)Same topicAfrican history and culture analysisFrench-language works237,207