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Record W2733394965 · doi:10.1177/1750698017749978

Reflexivity or orientation? Collective memories in the Australian, Canadian and New Zealand national press

2018· article· en· W2733394965 on OpenAlexaboutno aff
Jack Black

Bibliographic record

VenueMemory Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsReflexivityAmbivalenceEmpireSociologyMedia studiesNational identityNation stateState (computer science)NarrativeGender studiesHistoryPolitical scienceLawAnthropologyPoliticsLiteraturePsychoanalysis

Abstract

fetched live from OpenAlex

With regard to the notion of ‘national reflexivity’, an important part of Beck’s cosmopolitan outlook, this article examines how, and in what ways, collective memories of empire were reflexively used in Australian, Canadian and New Zealand national newspaper coverage of the 2012 Diamond Jubilee and London Olympic Games. In contrast to Beck, it is argued that examples of national reflexivity were closely tied to the history of the nation-state, with collective memories of the former British Empire used to debate, critique and appraise ‘the nation’. These memories were discursively used to ‘orientate’ each nation’s postcolonial emergence, suggesting that examples of national reflexivity, within the press’ coverage, remained closely tied to the ‘historical fetishes’ enveloped in each nations’ imperial past(s). This implies that the ‘national outlook’ does not objectively overlook, uncritically absorb or reflexively acknowledge differences with ‘the other’ but, instead, negotiates a historically grounded and selective appraisal of the past that reveals a contingent and, at times, ambivalent, interplay with ‘the global’.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.927

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0100.026
Scholarly communication0.0120.009
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.377
GPT teacher head0.492
Teacher spread0.115 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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