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Record W4299614486 · doi:10.51952/9781847425737.ch008

Social alarms (PRS) in North America

2003· book-chapter· en· W4299614486 on OpenAlexaboutno aff
Malcolm Fisk

Bibliographic record

VenuePolicy Press eBooks · 2003
Typebook-chapter
Languageen
FieldComputer Science
TopicData Visualization and Analytics
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryPsychology

Abstract

fetched live from OpenAlex

As noted in Chapter Four, the main difference in the evolutionary path for social alarms or personal response systems and services (PRS) in North America arises from the fact that their development was almost entirely a private sector phenomenon, with such services being promoted on the basis of cost savings in healthcare. This contrasts markedly with the position in Great Britain where, as was noted in Chapters Five and Six, development predominantly took place within the public sector and was concerned with housing and social welfare agendas. This is not to suggest that there was no overlap or common ground between the respective experiences. Both, as with other developed countries, experimented with bell and buzzer systems in the context of different types of accommodation, such simple technologies becoming particularly commonplace in institutions. However, the ensuing paths were divergent. In Canada, common ground has been evident mostly with the United States and relates to the fact that social alarms (PRS) were seen as relevant, at least in part, to private sector healthcare services. There is also, however, some common ground with Great Britain relating to the recognition that social alarms are also relevant to the needs of older people in public sector housing. The Canadian context is one where there are relatively high levels of public sector housing provision in some areas. In 1992, for instance, there were 46,000 public sector dwellings for older people in the province of Ontario (Hobbs, 1992, p 24). PRS installations had at this time already been made in the context of healthcare facilities and nursing homes, reflecting the nature of developments in the United States.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.973
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 studies0.0000.000
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 head0.059
GPT teacher head0.325
Teacher spread0.265 · 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
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
Published2003
Admission routes1
Has abstractyes

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